iPhone 15 Pro
Geekbench AI Score
3997
Single Precision Score
6983
Half Precision Score
5752
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8289
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
17045
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14778
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3360
267.5 IPS |
|
|
Object Detection (Q)
|
94% |
2381
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6858
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3867
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7094
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12945
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9037
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21782
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34344
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28626
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4956
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7132
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
