iPhone 15 Pro Max
Geekbench AI Score
3834
Single Precision Score
6913
Half Precision Score
5662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 01:33 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% |
1598
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.2 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7776
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
16982
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14225
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2358
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3822
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6896
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12750
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8960
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21005
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33923
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27747
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5359
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7331
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7339
126.8 IPS |
