Mac mini (Late 2020)
Geekbench ML Score
2990
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 05:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1291
241.5 IPS |
|
|
Image Classification (F16)
|
100% |
1666
311.7 IPS |
|
|
Image Classification (I8)
|
99% |
1662
311.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
9.86 IPS |
|
|
Image Segmentation (I8)
|
100% |
591
9.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
5568
6.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
12754
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12989
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1311
97.9 IPS |
|
|
Object Detection (F16)
|
100% |
1751
130.7 IPS |
|
|
Object Detection (I8)
|
97% |
1317
98.3 IPS |
|
|
Face Detection (F32)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
3938
46.8 IPS |
|
|
Face Detection (I8)
|
97% |
3878
46.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5176
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8120
63.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8120
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15321
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24129
31.7 IPS |
|
|
Style Transfer (I8)
|
100% |
24244
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3460
123.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4690
167.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4591
164.0 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3369
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
875
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
713
13.1 IPS |
