iPhone 15 Pro
Geekbench ML Score
2360
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 01:20 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% |
1374
257.1 IPS |
|
|
Image Classification (F16)
|
100% |
1193
223.3 IPS |
|
|
Image Classification (I8)
|
99% |
1204
225.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
533
8.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
538
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
6444
7.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
12748
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12715
15.4 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
1342
100.2 IPS |
|
|
Object Detection (I8)
|
97% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (I8)
|
99% |
1986
23.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4425
34.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
4715
36.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
4738
36.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11933
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
14298
18.8 IPS |
|
|
Style Transfer (I8)
|
100% |
14408
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4019
143.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3540
126.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3554
126.9 IPS |
|
|
Text Classification (F32)
|
100% |
1611
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1006
1.45 KIPS |
|
|
Text Classification (I8)
|
96% |
1011
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
981
18.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1035
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
959
17.6 IPS |
