iPhone 13 mini
Geekbench ML Score
2076
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 01:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
857
160.3 IPS |
|
|
Image Classification (F16)
|
100% |
970
181.5 IPS |
|
|
Image Classification (I8)
|
99% |
819
153.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
547
9.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
8.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
503
8.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
9115
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9798
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
9807
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
1093
81.6 IPS |
|
|
Object Detection (F16)
|
100% |
737
55.0 IPS |
|
|
Object Detection (I8)
|
97% |
821
61.3 IPS |
|
|
Face Detection (F32)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (F16)
|
97% |
4769
56.7 IPS |
|
|
Face Detection (I8)
|
96% |
3703
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6254
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6883
53.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8169
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16645
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19551
25.7 IPS |
|
|
Style Transfer (I8)
|
100% |
19184
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3004
107.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3222
115.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2009
71.7 IPS |
|
|
Text Classification (F32)
|
100% |
402
577.9 IPS |
|
|
Text Classification (F16)
|
100% |
387
556.3 IPS |
|
|
Text Classification (I8)
|
96% |
393
565.1 IPS |
|
|
Machine Translation (F32)
|
100% |
639
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (I8)
|
99% |
634
11.7 IPS |
