Mac mini (Late 2020)
Geekbench ML Score
3400
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Pom2Ter |
| Upload Date | March 28 2024 03:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1755
328.3 IPS |
|
|
Image Classification (F16)
|
100% |
1769
331.1 IPS |
|
|
Image Classification (I8)
|
99% |
1675
313.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
923
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16539
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
18079
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17774
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1523
113.7 IPS |
|
|
Object Detection (F16)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (I8)
|
97% |
1494
111.5 IPS |
|
|
Face Detection (F32)
|
100% |
5991
71.2 IPS |
|
|
Face Detection (F16)
|
98% |
6984
83.0 IPS |
|
|
Face Detection (I8)
|
97% |
6929
82.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12344
95.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
14062
109.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
12584
97.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27325
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32416
42.6 IPS |
|
|
Style Transfer (I8)
|
100% |
31974
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5216
186.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5949
212.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6245
223.0 IPS |
|
|
Text Classification (F32)
|
100% |
423
607.5 IPS |
|
|
Text Classification (F16)
|
100% |
506
727.8 IPS |
|
|
Text Classification (I8)
|
96% |
509
730.8 IPS |
|
|
Machine Translation (F32)
|
100% |
694
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
729
13.4 IPS |
|
|
Machine Translation (I8)
|
99% |
667
12.3 IPS |
