iPhone 15 Pro Max
Geekbench AI Score
3776
Single Precision Score
6897
Half Precision Score
5673
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1535
285.4 IPS |
|
|
Image Classification (HP)
|
100% |
2985
555.2 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7732
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14463
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
97% |
3262
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6664
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6704
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12673
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8942
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21156
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33519
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27879
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5763
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7076
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7171
123.9 IPS |
