iPhone 13
Geekbench ML Score
3193
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 09:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1377
257.7 IPS |
|
|
Image Classification (F16)
|
100% |
1751
327.6 IPS |
|
|
Image Classification (I8)
|
99% |
1736
324.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
799
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
781
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5237
6.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
13076
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13095
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
1847
137.9 IPS |
|
|
Object Detection (I8)
|
97% |
1326
99.0 IPS |
|
|
Face Detection (F32)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (F16)
|
97% |
3544
42.1 IPS |
|
|
Face Detection (I8)
|
97% |
3552
42.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4556
35.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7685
59.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7448
57.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15286
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23864
31.4 IPS |
|
|
Style Transfer (I8)
|
100% |
24468
32.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3650
130.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4940
176.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5026
179.5 IPS |
|
|
Text Classification (F32)
|
100% |
2226
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3595
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3598
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1016
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1220
22.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1022
18.8 IPS |
