iPhone 15 Pro
Geekbench ML Score
4590
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 17 2024 04:30 PM |
| 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 | 7.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1611
301.5 IPS |
|
|
Image Classification (F16)
|
100% |
2882
539.2 IPS |
|
|
Image Classification (I8)
|
99% |
2727
510.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1031
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1293
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1278
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7805
9.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
16333
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16344
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1655
123.5 IPS |
|
|
Object Detection (F16)
|
100% |
2790
208.3 IPS |
|
|
Object Detection (I8)
|
97% |
1664
124.2 IPS |
|
|
Face Detection (F32)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
6342
75.4 IPS |
|
|
Face Detection (I8)
|
97% |
6283
74.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6834
53.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13535
105.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
13497
104.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21591
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
33577
44.2 IPS |
|
|
Style Transfer (I8)
|
100% |
33484
44.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5482
195.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6518
232.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6506
232.3 IPS |
|
|
Text Classification (F32)
|
100% |
3006
4.32 KIPS |
|
|
Text Classification (F16)
|
100% |
5206
7.48 KIPS |
|
|
Text Classification (I8)
|
96% |
5215
7.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1373
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1666
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1314
24.2 IPS |
