Mac mini (Late 2020)
Geekbench ML Score
3420
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | zoomlenz |
| Upload Date | August 15 2024 05:36 PM |
| Views | 3 |
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 | 3.20 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1764
330.1 IPS |
|
|
Image Classification (F16)
|
100% |
1780
333.0 IPS |
|
|
Image Classification (I8)
|
99% |
1744
326.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
912
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16391
19.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
17983
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17676
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1521
113.6 IPS |
|
|
Object Detection (F16)
|
100% |
1477
110.3 IPS |
|
|
Object Detection (I8)
|
97% |
1486
111.0 IPS |
|
|
Face Detection (F32)
|
100% |
5968
71.0 IPS |
|
|
Face Detection (F16)
|
98% |
6912
82.2 IPS |
|
|
Face Detection (I8)
|
97% |
6867
81.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12185
94.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13894
107.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
12623
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28996
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32308
42.5 IPS |
|
|
Style Transfer (I8)
|
100% |
34407
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5470
195.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5914
211.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5586
199.5 IPS |
|
|
Text Classification (F32)
|
100% |
488
701.5 IPS |
|
|
Text Classification (F16)
|
100% |
519
745.2 IPS |
|
|
Text Classification (I8)
|
96% |
539
775.1 IPS |
|
|
Machine Translation (F32)
|
100% |
680
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
