iPhone 15 Pro
Geekbench ML Score
3629
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:49 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1207
225.9 IPS |
|
|
Image Classification (F16)
|
100% |
1653
309.2 IPS |
|
|
Image Classification (I8)
|
99% |
1715
320.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1480
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1624
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1599
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14657
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
15815
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15400
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1548
115.6 IPS |
|
|
Object Detection (F16)
|
100% |
1569
117.1 IPS |
|
|
Object Detection (I8)
|
97% |
1497
111.7 IPS |
|
|
Face Detection (F32)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (F16)
|
98% |
8369
99.5 IPS |
|
|
Face Detection (I8)
|
97% |
8594
102.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12227
94.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13869
107.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12729
98.7 IPS |
|
|
Style Transfer (F32)
|
100% |
28366
37.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31544
41.5 IPS |
|
|
Style Transfer (I8)
|
100% |
31810
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6913
246.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7662
273.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7048
251.7 IPS |
|
|
Text Classification (F32)
|
100% |
445
638.9 IPS |
|
|
Text Classification (F16)
|
100% |
645
926.7 IPS |
|
|
Text Classification (I8)
|
96% |
299
430.3 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (I8)
|
99% |
674
12.4 IPS |
