iPhone 15 Pro
Geekbench ML Score
4074
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 06:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1684
315.1 IPS |
|
|
Image Classification (F16)
|
100% |
2148
401.9 IPS |
|
|
Image Classification (I8)
|
99% |
2164
404.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
936
15.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
938
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7186
8.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
15981
19.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
16065
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1647
123.0 IPS |
|
|
Object Detection (F16)
|
100% |
2315
172.8 IPS |
|
|
Object Detection (I8)
|
97% |
1658
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
4760
56.6 IPS |
|
|
Face Detection (I8)
|
97% |
4774
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6184
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9713
75.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9722
75.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20606
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30877
40.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30154
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5071
181.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6120
218.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5936
212.0 IPS |
|
|
Text Classification (F32)
|
100% |
2933
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4953
7.12 KIPS |
|
|
Text Classification (I8)
|
96% |
4852
6.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1314
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1580
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1290
23.7 IPS |
