Mac mini (Late 2020)
Geekbench ML Score
3535
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 07:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1373
256.9 IPS |
|
|
Image Classification (F16)
|
100% |
2148
402.0 IPS |
|
|
Image Classification (I8)
|
99% |
2154
403.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
634
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
761
12.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
778
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6310
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
13362
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13348
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
2109
157.5 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5372
63.9 IPS |
|
|
Face Detection (I8)
|
97% |
5307
63.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5780
44.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11014
85.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11027
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16363
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25561
33.6 IPS |
|
|
Style Transfer (I8)
|
100% |
25496
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3858
137.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4479
160.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4628
165.3 IPS |
|
|
Text Classification (F32)
|
100% |
2142
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3693
5.31 KIPS |
|
|
Text Classification (I8)
|
96% |
3676
5.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1113
20.5 IPS |
