iPhone 12
Geekbench ML Score
1606
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 17 2024 06:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
760
142.2 IPS |
|
|
Image Classification (F16)
|
100% |
762
142.7 IPS |
|
|
Image Classification (I8)
|
99% |
765
143.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
546
9.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
500
8.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
491
8.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
4384
5.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
7823
9.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
7871
9.53 IPS |
|
|
Object Detection (F32)
|
100% |
799
59.6 IPS |
|
|
Object Detection (F16)
|
100% |
869
64.9 IPS |
|
|
Object Detection (I8)
|
97% |
799
59.7 IPS |
|
|
Face Detection (F32)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (I8)
|
99% |
1318
15.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2806
21.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3154
24.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3166
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8192
10.8 IPS |
|
|
Style Transfer (F16)
|
100% |
9683
12.7 IPS |
|
|
Style Transfer (I8)
|
100% |
9737
12.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2034
72.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2265
80.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2266
80.9 IPS |
|
|
Text Classification (F32)
|
100% |
824
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
394
565.9 IPS |
|
|
Text Classification (I8)
|
96% |
538
773.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1460
26.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
