iPhone 15 Pro
Geekbench ML Score
3609
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 21 2024 03:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1163
217.7 IPS |
|
|
Image Classification (F16)
|
100% |
1806
338.0 IPS |
|
|
Image Classification (I8)
|
99% |
1781
333.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1577
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1575
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14864
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15882
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15384
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1473
109.9 IPS |
|
|
Object Detection (F16)
|
100% |
1926
143.8 IPS |
|
|
Object Detection (I8)
|
97% |
1640
122.5 IPS |
|
|
Face Detection (F32)
|
100% |
6355
75.6 IPS |
|
|
Face Detection (F16)
|
97% |
8179
97.3 IPS |
|
|
Face Detection (I8)
|
96% |
8321
98.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12329
95.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
13698
106.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12579
97.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29390
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
36334
47.8 IPS |
|
|
Style Transfer (I8)
|
100% |
32828
43.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6294
224.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7594
271.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6838
244.2 IPS |
|
|
Text Classification (F32)
|
100% |
448
643.9 IPS |
|
|
Text Classification (F16)
|
100% |
454
652.2 IPS |
|
|
Text Classification (I8)
|
96% |
290
416.2 IPS |
|
|
Machine Translation (F32)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
774
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
659
12.1 IPS |
