iPhone 15 Pro
Geekbench ML Score
4036
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 05:26 PM |
| 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% |
1715
320.9 IPS |
|
|
Image Classification (F16)
|
100% |
2125
397.6 IPS |
|
|
Image Classification (I8)
|
99% |
2149
402.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
892
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7496
9.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
16137
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16255
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1648
123.0 IPS |
|
|
Object Detection (F16)
|
100% |
2276
169.9 IPS |
|
|
Object Detection (I8)
|
97% |
1653
123.4 IPS |
|
|
Face Detection (F32)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4757
56.6 IPS |
|
|
Face Detection (I8)
|
97% |
4769
56.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6250
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9645
74.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9678
75.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20193
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30043
39.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30339
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5117
182.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6075
217.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6059
216.4 IPS |
|
|
Text Classification (F32)
|
100% |
2863
4.11 KIPS |
|
|
Text Classification (F16)
|
100% |
4641
6.67 KIPS |
|
|
Text Classification (I8)
|
96% |
4623
6.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.6 IPS |
