iPhone 12
Geekbench ML Score
2523
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 03 2024 04:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1140
213.3 IPS |
|
|
Image Classification (F16)
|
100% |
1302
243.5 IPS |
|
|
Image Classification (I8)
|
99% |
1463
273.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
488
8.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
8.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
501
8.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
4411
5.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
9913
12.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9939
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1121
83.7 IPS |
|
|
Object Detection (F16)
|
100% |
1530
114.2 IPS |
|
|
Object Detection (I8)
|
97% |
1117
83.4 IPS |
|
|
Face Detection (F32)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (F16)
|
97% |
3358
39.9 IPS |
|
|
Face Detection (I8)
|
97% |
3313
39.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4255
33.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6972
54.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7085
54.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12414
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20684
27.2 IPS |
|
|
Style Transfer (I8)
|
100% |
20657
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2831
101.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4145
148.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4189
149.6 IPS |
|
|
Text Classification (F32)
|
100% |
1939
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
2690
3.87 KIPS |
|
|
Text Classification (I8)
|
96% |
2678
3.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
649
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
769
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
637
11.7 IPS |
