iPhone 15 Pro
Geekbench ML Score
4003
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 25 2025 05:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1670
312.6 IPS |
|
|
Image Classification (F16)
|
100% |
2889
540.7 IPS |
|
|
Image Classification (I8)
|
99% |
2900
542.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1253
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1234
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7245
8.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
14448
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11263
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
1557
116.3 IPS |
|
|
Object Detection (F16)
|
100% |
2084
155.6 IPS |
|
|
Object Detection (I8)
|
97% |
1379
103.0 IPS |
|
|
Face Detection (F32)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (F16)
|
97% |
5938
70.6 IPS |
|
|
Face Detection (I8)
|
97% |
5999
71.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6680
51.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13285
103.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
12939
100.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20048
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26977
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
22583
29.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3238
115.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5991
214.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4135
147.7 IPS |
|
|
Text Classification (F32)
|
100% |
2647
3.80 KIPS |
|
|
Text Classification (F16)
|
100% |
5049
7.26 KIPS |
|
|
Text Classification (I8)
|
96% |
4627
6.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1158
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
