ASUS System Product Name
Geekbench AI Score
33649
Single Precision Score
39578
Half Precision Score
27092
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EnduroFever |
| Upload Date | October 30 2025 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14166
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
15056
2.80 KIPS |
|
|
Image Classification (Q)
|
99% |
12275
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21186
343.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18677
302.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19345
314.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
268350
313.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
465754
543.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
241005
282.3 IPS |
|
|
Object Detection (SP)
|
100% |
15345
1.22 KIPS |
|
|
Object Detection (HP)
|
99% |
16946
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
13526
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44252
525.8 IPS |
|
|
Face Detection (HP)
|
100% |
49567
589.0 IPS |
|
|
Face Detection (Q)
|
97% |
39293
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
76148
586.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94808
730.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
66267
531.0 IPS |
|
|
Style Transfer (SP)
|
100% |
439020
564.4 IPS |
|
|
Style Transfer (HP)
|
100% |
668999
860.0 IPS |
|
|
Style Transfer (Q)
|
98% |
383009
493.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47148
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61752
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38476
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4200
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2660
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2697
50.6 IPS |