Mac mini (Late 2020)
Geekbench ML Score
2991
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Pom2Ter |
| Upload Date | March 28 2024 03:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1295
242.3 IPS |
|
|
Image Classification (F16)
|
100% |
1673
313.1 IPS |
|
|
Image Classification (I8)
|
99% |
1677
313.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
585
9.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
587
9.80 IPS |
|
|
Image Segmentation (I8)
|
100% |
587
9.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
5626
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12949
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12969
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1316
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1760
131.4 IPS |
|
|
Object Detection (I8)
|
97% |
1317
98.4 IPS |
|
|
Face Detection (F32)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (F16)
|
97% |
4006
47.6 IPS |
|
|
Face Detection (I8)
|
97% |
3911
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5216
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8173
63.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8173
63.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15224
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24104
31.7 IPS |
|
|
Style Transfer (I8)
|
100% |
24109
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3458
123.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4456
159.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4618
164.9 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3399
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3351
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
726
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
722
13.3 IPS |
