iPhone 12
Geekbench ML Score
2621
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 25 2024 10:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1141
213.4 IPS |
|
|
Image Classification (F16)
|
100% |
1459
273.1 IPS |
|
|
Image Classification (I8)
|
99% |
1456
272.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
490
8.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
494
8.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
500
8.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
5038
6.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
11216
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11221
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
1114
83.2 IPS |
|
|
Object Detection (F16)
|
100% |
1525
113.8 IPS |
|
|
Object Detection (I8)
|
97% |
1120
83.6 IPS |
|
|
Face Detection (F32)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (F16)
|
97% |
3518
41.8 IPS |
|
|
Face Detection (I8)
|
97% |
3488
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4503
34.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7097
55.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7098
55.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13359
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21518
28.3 IPS |
|
|
Style Transfer (I8)
|
100% |
21580
28.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3132
111.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4160
148.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4164
148.7 IPS |
|
|
Text Classification (F32)
|
100% |
1901
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
2752
3.96 KIPS |
|
|
Text Classification (I8)
|
96% |
2697
3.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
648
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
777
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
793
14.6 IPS |
