iPhone 15 Pro
Geekbench AI Score
4231
Single Precision Score
4775
Half Precision Score
4240
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | marlody |
| Upload Date | August 16 2024 01:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
1776
330.3 IPS |
|
|
Image Classification (Q)
|
99% |
2092
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3864
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14966
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15916
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14585
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2929
232.3 IPS |
|
|
Object Detection (Q)
|
92% |
2213
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
6641
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
8777
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
6096
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11637
89.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12910
99.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13100
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28809
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34982
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
34455
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6141
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6678
246.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5307
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.6 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.2 IPS |
|
|
Text Classification (Q)
|
93% |
310
415.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1575
27.2 IPS |
