iPhone 15 Pro Max
Geekbench AI Score
4902
Single Precision Score
5783
Half Precision Score
5298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1775
330.1 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.8 IPS |
|
|
Image Classification (Q)
|
97% |
1853
345.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3947
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4041
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15107
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15933
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14984
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (Q)
|
91% |
2544
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
6506
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8794
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
6243
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11450
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12690
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10984
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29621
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35144
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33627
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6389
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6680
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5256
194.1 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
919
15.9 IPS |
