iPhone 13 mini
Geekbench ML Score
2072
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
587
109.9 IPS |
|
|
Image Classification (F16)
|
100% |
563
105.3 IPS |
|
|
Image Classification (I8)
|
99% |
752
140.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1149
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1145
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1181
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8596
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9970
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
9654
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (F16)
|
100% |
1030
76.9 IPS |
|
|
Object Detection (I8)
|
97% |
1500
112.0 IPS |
|
|
Face Detection (F32)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (F16)
|
98% |
4230
50.3 IPS |
|
|
Face Detection (I8)
|
97% |
2907
34.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7453
57.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5319
41.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
5854
45.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16599
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19477
25.6 IPS |
|
|
Style Transfer (I8)
|
100% |
19328
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3207
114.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3228
115.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3134
111.9 IPS |
|
|
Text Classification (F32)
|
100% |
360
517.7 IPS |
|
|
Text Classification (F16)
|
100% |
362
520.8 IPS |
|
|
Text Classification (I8)
|
96% |
213
306.1 IPS |
|
|
Machine Translation (F32)
|
100% |
492
9.06 IPS |
|
|
Machine Translation (F16)
|
100% |
498
9.16 IPS |
|
|
Machine Translation (I8)
|
99% |
471
8.68 IPS |
