iPhone 15 Pro
Geekbench AI Score
4984
Single Precision Score
5768
Half Precision Score
4459
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1844
342.9 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
99% |
2047
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3949
64.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3965
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15088
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15928
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14374
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (Q)
|
91% |
2278
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
6718
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
8910
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
6112
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11568
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12649
97.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1848
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29608
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35780
46.0 IPS |
|
|
Style Transfer (Q)
|
100% |
35553
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6338
234.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6793
250.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5376
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
967
16.7 IPS |
