iPhone 15 Pro
Geekbench AI Score
3521
Single Precision Score
5308
Half Precision Score
4422
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MrMage |
| Upload Date | August 20 2024 07:47 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
2178
405.1 IPS |
|
|
Image Classification (Q)
|
99% |
2176
405.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1354
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14699
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12824
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
2523
200.9 IPS |
|
|
Object Detection (Q)
|
94% |
1897
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
3007
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5770
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9244
71.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4670
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18710
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29192
37.5 IPS |
|
|
Style Transfer (Q)
|
100% |
29114
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4377
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4220
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5165
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4506
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4486
77.5 IPS |
