Mac mini (Late 2020)
Geekbench ML Score
3456
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 05:16 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1746
326.7 IPS |
|
|
Image Classification (F16)
|
100% |
1752
327.9 IPS |
|
|
Image Classification (I8)
|
99% |
1767
330.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
925
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
905
15.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16300
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
18074
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17813
21.6 IPS |
|
|
Object Detection (F32)
|
100% |
1510
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
1467
109.5 IPS |
|
|
Object Detection (I8)
|
97% |
1497
111.8 IPS |
|
|
Face Detection (F32)
|
100% |
5782
68.8 IPS |
|
|
Face Detection (F16)
|
98% |
7099
84.4 IPS |
|
|
Face Detection (I8)
|
97% |
6970
82.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12208
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13887
107.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
12588
97.6 IPS |
|
|
Style Transfer (F32)
|
100% |
28692
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34750
45.7 IPS |
|
|
Style Transfer (I8)
|
100% |
32963
43.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5243
187.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5633
201.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5934
211.9 IPS |
|
|
Text Classification (F32)
|
100% |
424
609.8 IPS |
|
|
Text Classification (F16)
|
100% |
673
967.2 IPS |
|
|
Text Classification (I8)
|
96% |
677
973.4 IPS |
|
|
Machine Translation (F32)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
710
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
