iPhone 15 Pro Max
Geekbench AI Score
3728
Single Precision Score
6800
Half Precision Score
5558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 04:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7249
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
15757
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13590
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3704
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6616
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12578
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8808
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19975
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32725
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26645
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7186
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7161
123.8 IPS |