iPhone 12 Mini
Geekbench ML Score
2573
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 04:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1152
215.5 IPS |
|
|
Image Classification (F16)
|
100% |
1468
274.6 IPS |
|
|
Image Classification (I8)
|
99% |
1467
274.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
499
8.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
8.52 IPS |
|
|
Image Segmentation (I8)
|
100% |
500
8.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
4848
5.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
10542
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10517
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1132
84.5 IPS |
|
|
Object Detection (F16)
|
100% |
1529
114.1 IPS |
|
|
Object Detection (I8)
|
97% |
1133
84.6 IPS |
|
|
Face Detection (F32)
|
100% |
1931
23.0 IPS |
|
|
Face Detection (F16)
|
97% |
3396
40.4 IPS |
|
|
Face Detection (I8)
|
97% |
3434
40.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4442
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7135
55.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
7117
55.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12934
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21109
27.8 IPS |
|
|
Style Transfer (I8)
|
100% |
21119
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2951
105.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4098
146.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4093
146.2 IPS |
|
|
Text Classification (F32)
|
100% |
1889
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2697
3.88 KIPS |
|
|
Text Classification (I8)
|
96% |
2681
3.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
643
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (I8)
|
99% |
637
11.7 IPS |
