iPhone 13 mini
Geekbench ML Score
2907
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 04:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1214
227.2 IPS |
|
|
Image Classification (F16)
|
100% |
1725
322.9 IPS |
|
|
Image Classification (I8)
|
99% |
1731
324.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
724
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
796
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4519
5.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
10412
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11779
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1169
87.3 IPS |
|
|
Object Detection (F16)
|
100% |
1868
139.5 IPS |
|
|
Object Detection (I8)
|
97% |
1344
100.3 IPS |
|
|
Face Detection (F32)
|
100% |
2108
25.1 IPS |
|
|
Face Detection (F16)
|
97% |
3878
46.1 IPS |
|
|
Face Detection (I8)
|
97% |
3273
38.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4128
32.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8001
62.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7701
59.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12876
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19513
25.7 IPS |
|
|
Style Transfer (I8)
|
100% |
16061
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2746
98.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4887
174.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5017
179.2 IPS |
|
|
Text Classification (F32)
|
100% |
2225
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3451
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3467
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (I8)
|
99% |
818
15.0 IPS |
