iPhone 15 Pro
Geekbench ML Score
4566
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 08:54 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1678
313.9 IPS |
|
|
Image Classification (F16)
|
100% |
2895
541.7 IPS |
|
|
Image Classification (I8)
|
99% |
2869
536.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
985
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1233
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1242
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7768
9.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
16490
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16514
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1670
124.7 IPS |
|
|
Object Detection (F16)
|
100% |
2794
208.6 IPS |
|
|
Object Detection (I8)
|
97% |
1676
125.1 IPS |
|
|
Face Detection (F32)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (F16)
|
97% |
6422
76.4 IPS |
|
|
Face Detection (I8)
|
97% |
6377
75.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6980
54.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13646
105.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
13496
104.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21245
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32047
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
32442
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5452
194.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6064
216.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6275
224.1 IPS |
|
|
Text Classification (F32)
|
100% |
2952
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
5171
7.43 KIPS |
|
|
Text Classification (I8)
|
96% |
5045
7.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1690
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
