iPhone 12 Mini
Geekbench ML Score
1309
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:34 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% |
414
77.5 IPS |
|
|
Image Classification (F16)
|
100% |
352
65.8 IPS |
|
|
Image Classification (I8)
|
99% |
344
64.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
557
9.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
585
9.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
600
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5691
6.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
6075
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
5982
7.24 IPS |
|
|
Object Detection (F32)
|
100% |
529
39.5 IPS |
|
|
Object Detection (F16)
|
100% |
547
40.8 IPS |
|
|
Object Detection (I8)
|
97% |
484
36.1 IPS |
|
|
Face Detection (F32)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (F16)
|
98% |
2314
27.5 IPS |
|
|
Face Detection (I8)
|
97% |
3113
37.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5372
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5597
43.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
5425
42.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11316
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13720
18.0 IPS |
|
|
Style Transfer (I8)
|
100% |
13625
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1737
62.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1658
59.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1548
55.3 IPS |
|
|
Text Classification (F32)
|
100% |
248
356.9 IPS |
|
|
Text Classification (F16)
|
100% |
249
357.4 IPS |
|
|
Text Classification (I8)
|
96% |
164
235.3 IPS |
|
|
Machine Translation (F32)
|
100% |
323
5.94 IPS |
|
|
Machine Translation (F16)
|
100% |
343
6.31 IPS |
|
|
Machine Translation (I8)
|
99% |
332
6.10 IPS |
