Mac mini (Late 2020)
Geekbench ML Score
3536
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:15 PM |
| Views | 1 |
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% |
1840
344.4 IPS |
|
|
Image Classification (F16)
|
100% |
1789
334.7 IPS |
|
|
Image Classification (I8)
|
99% |
1836
343.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
860
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
911
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16625
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18182
22.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
17768
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1538
114.8 IPS |
|
|
Object Detection (F16)
|
100% |
1506
112.4 IPS |
|
|
Object Detection (I8)
|
97% |
1497
111.8 IPS |
|
|
Face Detection (F32)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (F16)
|
98% |
7241
86.1 IPS |
|
|
Face Detection (I8)
|
97% |
7019
83.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12481
96.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
14025
108.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
12696
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28838
37.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32553
42.8 IPS |
|
|
Style Transfer (I8)
|
100% |
32021
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5612
200.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5952
212.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5720
204.3 IPS |
|
|
Text Classification (F32)
|
100% |
842
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
501
720.4 IPS |
|
|
Text Classification (I8)
|
96% |
676
972.0 IPS |
|
|
Machine Translation (F32)
|
100% |
680
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
714
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
