Mac mini (Late 2020)
Geekbench ML Score
6923
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 05:13 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1668
312.2 IPS |
|
|
Image Classification (F16)
|
100% |
6240
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6439
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3811
63.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3745
62.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16602
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
63016
76.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64146
77.7 IPS |
|
|
Object Detection (F32)
|
100% |
1540
115.0 IPS |
|
|
Object Detection (F16)
|
100% |
4018
300.0 IPS |
|
|
Object Detection (I8)
|
97% |
1488
111.1 IPS |
|
|
Face Detection (F32)
|
100% |
5956
70.8 IPS |
|
|
Face Detection (F16)
|
97% |
11767
139.9 IPS |
|
|
Face Detection (I8)
|
96% |
10811
128.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11015
85.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
39896
309.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
41580
322.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28992
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
114283
150.3 IPS |
|
|
Style Transfer (I8)
|
100% |
119848
157.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5375
191.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18271
652.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18330
654.6 IPS |
|
|
Text Classification (F32)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2276
3.27 KIPS |
|
|
Text Classification (I8)
|
96% |
2243
3.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
681
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2018
37.1 IPS |
|
|
Machine Translation (I8)
|
99% |
656
12.1 IPS |
