iPhone 15 Pro
Geekbench AI Score
4063
Single Precision Score
4701
Half Precision Score
1600
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:06 PM |
| Views | 1 |
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% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (Q)
|
97% |
1795
334.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3913
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14890
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15756
18.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14474
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
3091
245.2 IPS |
|
|
Object Detection (Q)
|
92% |
2209
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
6455
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
8801
104.6 IPS |
|
|
Face Detection (Q)
|
100% |
6121
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11577
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12828
98.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29405
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26732
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29378
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6801
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5367
198.2 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.5 IPS |
|
|
Text Classification (HP)
|
100% |
511
682.1 IPS |
|
|
Text Classification (Q)
|
93% |
309
414.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1617
27.9 IPS |
