iPhone 12 Mini
Geekbench ML Score
1279
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:28 AM |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
315
59.0 IPS |
|
|
Image Classification (F16)
|
100% |
314
58.8 IPS |
|
|
Image Classification (I8)
|
99% |
286
53.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
550
9.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
571
9.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
591
9.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
5665
6.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
6108
7.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
5985
7.25 IPS |
|
|
Object Detection (F32)
|
100% |
426
31.8 IPS |
|
|
Object Detection (F16)
|
100% |
586
43.8 IPS |
|
|
Object Detection (I8)
|
97% |
475
35.5 IPS |
|
|
Face Detection (F32)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (F16)
|
98% |
2676
31.8 IPS |
|
|
Face Detection (I8)
|
97% |
2966
35.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5359
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5627
43.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
5367
41.6 IPS |
|
|
Style Transfer (F32)
|
100% |
11183
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
13789
18.1 IPS |
|
|
Style Transfer (I8)
|
100% |
12254
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1892
67.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1708
61.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1458
52.1 IPS |
|
|
Text Classification (F32)
|
100% |
248
357.1 IPS |
|
|
Text Classification (F16)
|
100% |
247
355.2 IPS |
|
|
Text Classification (I8)
|
96% |
164
235.6 IPS |
|
|
Machine Translation (F32)
|
100% |
330
6.08 IPS |
|
|
Machine Translation (F16)
|
100% |
349
6.42 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.13 IPS |
