iPhone 13 Pro
Geekbench ML Score
2033
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 09:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1193
223.2 IPS |
|
|
Image Classification (F16)
|
100% |
1031
192.9 IPS |
|
|
Image Classification (I8)
|
99% |
1028
192.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
525
8.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (I8)
|
100% |
482
8.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
5736
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
11323
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11377
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
1177
87.9 IPS |
|
|
Object Detection (F16)
|
100% |
1175
87.7 IPS |
|
|
Object Detection (I8)
|
97% |
1180
88.1 IPS |
|
|
Face Detection (F32)
|
100% |
1971
23.4 IPS |
|
|
Face Detection (F16)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (I8)
|
99% |
1763
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3831
29.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
4135
32.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
4127
32.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10789
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12903
17.0 IPS |
|
|
Style Transfer (I8)
|
100% |
12859
16.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3275
116.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2735
97.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2765
98.7 IPS |
|
|
Text Classification (F32)
|
100% |
1185
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
776
1.12 KIPS |
|
|
Text Classification (I8)
|
96% |
778
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
875
16.1 IPS |
|
|
Machine Translation (F16)
|
99% |
996
18.3 IPS |
|
|
Machine Translation (I8)
|
99% |
865
15.9 IPS |
