iPhone 15 Pro Max
Geekbench AI Score
3921
Single Precision Score
6962
Half Precision Score
5667
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.1 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7986
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
16788
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14332
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.5 IPS |
|
|
Object Detection (HP)
|
97% |
3305
263.2 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6708
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3825
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12837
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8987
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21266
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34018
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27926
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5791
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6968
120.4 IPS |
