iPhone 15 Pro
Geekbench ML Score
4561
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1616
302.5 IPS |
|
|
Image Classification (F16)
|
100% |
2880
538.8 IPS |
|
|
Image Classification (I8)
|
99% |
2875
538.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1331
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7533
9.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
16192
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
16251
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1674
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
2785
207.9 IPS |
|
|
Object Detection (I8)
|
97% |
1681
125.5 IPS |
|
|
Face Detection (F32)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (F16)
|
97% |
6369
75.7 IPS |
|
|
Face Detection (I8)
|
97% |
6367
75.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6707
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13550
105.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
13511
104.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21185
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32053
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
32192
42.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5462
195.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6059
216.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6113
218.3 IPS |
|
|
Text Classification (F32)
|
100% |
2937
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
5078
7.30 KIPS |
|
|
Text Classification (I8)
|
96% |
5012
7.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1336
24.6 IPS |
