Mac mini (Late 2020)
Geekbench ML Score
3373
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2024 11:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 3.19 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1752
327.8 IPS |
|
|
Image Classification (F16)
|
100% |
1652
309.1 IPS |
|
|
Image Classification (I8)
|
99% |
1486
278.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
913
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16554
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
18107
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17733
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1482
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (I8)
|
97% |
1455
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
5909
70.3 IPS |
|
|
Face Detection (F16)
|
97% |
7232
86.0 IPS |
|
|
Face Detection (I8)
|
96% |
6947
82.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12287
95.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13700
106.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12371
95.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28959
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
34780
45.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34189
45.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5293
189.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5837
208.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5787
206.7 IPS |
|
|
Text Classification (F32)
|
100% |
408
586.2 IPS |
|
|
Text Classification (F16)
|
100% |
585
840.7 IPS |
|
|
Text Classification (I8)
|
96% |
497
714.2 IPS |
|
|
Machine Translation (F32)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
711
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
620
11.4 IPS |
