iPhone 15 Pro
Geekbench ML Score
2375
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 01:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1357
253.8 IPS |
|
|
Image Classification (F16)
|
100% |
1196
223.9 IPS |
|
|
Image Classification (I8)
|
99% |
1200
224.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
542
9.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
538
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
6743
8.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
13128
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13098
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
1358
101.4 IPS |
|
|
Object Detection (I8)
|
97% |
1358
101.4 IPS |
|
|
Face Detection (F32)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (I8)
|
99% |
1984
23.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4559
35.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
4824
37.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
4711
36.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12004
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
14281
18.8 IPS |
|
|
Style Transfer (I8)
|
100% |
14496
19.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4137
147.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3537
126.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3525
125.9 IPS |
|
|
Text Classification (F32)
|
100% |
1628
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1025
1.47 KIPS |
|
|
Text Classification (I8)
|
96% |
1000
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
981
18.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1023
18.8 IPS |
|
|
Machine Translation (I8)
|
99% |
941
17.3 IPS |
