Mac mini (Late 2020)
Geekbench ML Score
6874
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1734
324.5 IPS |
|
|
Image Classification (F16)
|
100% |
6241
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6422
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
863
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3832
64.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3818
63.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
16328
19.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62992
76.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64165
77.7 IPS |
|
|
Object Detection (F32)
|
100% |
1537
114.8 IPS |
|
|
Object Detection (F16)
|
100% |
3851
287.5 IPS |
|
|
Object Detection (I8)
|
97% |
1498
111.9 IPS |
|
|
Face Detection (F32)
|
100% |
6134
72.9 IPS |
|
|
Face Detection (F16)
|
97% |
11704
139.2 IPS |
|
|
Face Detection (I8)
|
96% |
10679
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12153
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38292
297.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
40869
316.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28750
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
114959
151.2 IPS |
|
|
Style Transfer (I8)
|
100% |
120250
158.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5134
183.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18241
651.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18271
652.5 IPS |
|
|
Text Classification (F32)
|
100% |
522
749.9 IPS |
|
|
Text Classification (F16)
|
100% |
2304
3.31 KIPS |
|
|
Text Classification (I8)
|
96% |
2265
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2112
38.9 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
