iPhone18,2
Geekbench AI Score
4872
Single Precision Score
8077
Half Precision Score
6326
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 08:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.12 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
3625
674.2 IPS |
|
|
Image Classification (Q)
|
96% |
2431
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9472
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17346
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14941
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3958
315.1 IPS |
|
|
Object Detection (Q)
|
94% |
2589
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7918
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8046
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13496
104.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9493
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23271
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36569
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29533
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6785
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6448
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4992
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9377
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9652
166.8 IPS |