iPhone 15 Pro
Geekbench ML Score
4595
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:26 AM |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1698
317.8 IPS |
|
|
Image Classification (F16)
|
100% |
2899
542.4 IPS |
|
|
Image Classification (I8)
|
99% |
2896
541.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1000
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1246
20.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1284
21.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7985
9.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
16815
20.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
16922
20.5 IPS |
|
|
Object Detection (F32)
|
100% |
1686
125.9 IPS |
|
|
Object Detection (F16)
|
100% |
2764
206.3 IPS |
|
|
Object Detection (I8)
|
97% |
1661
124.0 IPS |
|
|
Face Detection (F32)
|
100% |
3142
37.4 IPS |
|
|
Face Detection (F16)
|
97% |
6421
76.3 IPS |
|
|
Face Detection (I8)
|
97% |
6435
76.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6915
53.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13587
105.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
13521
104.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21522
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32246
42.4 IPS |
|
|
Style Transfer (I8)
|
100% |
32503
42.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5601
200.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6063
216.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6017
214.9 IPS |
|
|
Text Classification (F32)
|
100% |
2919
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
5041
7.24 KIPS |
|
|
Text Classification (I8)
|
96% |
5049
7.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1725
31.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1354
24.9 IPS |
