iPhone 15 Pro
Geekbench ML Score
3528
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 05:33 PM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1214
227.3 IPS |
|
|
Image Classification (F16)
|
100% |
1415
264.8 IPS |
|
|
Image Classification (I8)
|
99% |
1589
297.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1477
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1596
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1588
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14840
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15739
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15485
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1490
111.3 IPS |
|
|
Object Detection (F16)
|
100% |
1636
122.1 IPS |
|
|
Object Detection (I8)
|
97% |
1612
120.3 IPS |
|
|
Face Detection (F32)
|
100% |
6230
74.1 IPS |
|
|
Face Detection (F16)
|
98% |
8297
98.6 IPS |
|
|
Face Detection (I8)
|
97% |
8403
99.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12388
96.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13866
107.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12682
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
29476
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31789
41.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34733
45.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6877
245.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4470
159.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7446
265.9 IPS |
|
|
Text Classification (F32)
|
100% |
462
663.8 IPS |
|
|
Text Classification (F16)
|
100% |
481
690.7 IPS |
|
|
Text Classification (I8)
|
96% |
299
430.1 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
781
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
