iPhone 15 Pro
Geekbench ML Score
4066
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1723
322.4 IPS |
|
|
Image Classification (F16)
|
100% |
2155
403.3 IPS |
|
|
Image Classification (I8)
|
99% |
2173
406.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
897
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
861
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7608
9.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
16231
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16357
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1661
124.0 IPS |
|
|
Object Detection (F16)
|
100% |
2262
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1662
124.1 IPS |
|
|
Face Detection (F32)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
4800
57.1 IPS |
|
|
Face Detection (I8)
|
97% |
4848
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6368
49.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9747
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9766
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20384
26.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30152
39.7 IPS |
|
|
Style Transfer (I8)
|
100% |
30125
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5252
187.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6144
219.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5948
212.4 IPS |
|
|
Text Classification (F32)
|
100% |
2937
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4838
6.95 KIPS |
|
|
Text Classification (I8)
|
96% |
4914
7.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1293
23.8 IPS |
