iPhone 12
Geekbench ML Score
2887
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 09:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1136
212.5 IPS |
|
|
Image Classification (F16)
|
100% |
1778
332.7 IPS |
|
|
Image Classification (I8)
|
99% |
1803
337.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
510
8.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
615
10.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
644
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4498
5.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
9236
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
9768
11.8 IPS |
|
|
Object Detection (F32)
|
100% |
1128
84.2 IPS |
|
|
Object Detection (F16)
|
100% |
1691
126.3 IPS |
|
|
Object Detection (I8)
|
97% |
1131
84.4 IPS |
|
|
Face Detection (F32)
|
100% |
2318
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
4162
49.5 IPS |
|
|
Face Detection (I8)
|
97% |
4232
50.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4595
35.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9311
72.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9424
73.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12697
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21059
27.7 IPS |
|
|
Style Transfer (I8)
|
100% |
21149
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3058
109.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4338
154.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4124
147.3 IPS |
|
|
Text Classification (F32)
|
100% |
1944
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3335
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
939
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
889
16.4 IPS |
