iPhone 15 Pro
Geekbench AI Score
4229
Single Precision Score
4766
Half Precision Score
4388
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | August 15 2024 10:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1887
351.0 IPS |
|
|
Image Classification (HP)
|
100% |
2118
393.8 IPS |
|
|
Image Classification (Q)
|
99% |
2079
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3898
63.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3916
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14978
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16025
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14613
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (Q)
|
92% |
2202
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
8704
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
6094
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11421
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12915
99.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13232
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29446
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34321
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
35557
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6187
228.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6589
243.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5360
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.3 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.3 IPS |
|
|
Text Classification (Q)
|
93% |
410
550.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1604
27.7 IPS |
