Mac mini (Late 2020)
Geekbench ML Score
3960
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 07:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1664
311.5 IPS |
|
|
Image Classification (F16)
|
100% |
1682
314.8 IPS |
|
|
Image Classification (I8)
|
99% |
1695
317.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
913
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
922
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16488
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
18064
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17439
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1508
112.6 IPS |
|
|
Object Detection (F16)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (I8)
|
97% |
1545
115.3 IPS |
|
|
Face Detection (F32)
|
100% |
5761
68.5 IPS |
|
|
Face Detection (F16)
|
98% |
7173
85.3 IPS |
|
|
Face Detection (I8)
|
97% |
6948
82.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12099
93.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13711
106.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
13338
103.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27257
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34839
45.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34390
45.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5616
200.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5863
209.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5300
189.3 IPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3658
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3662
5.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
530
9.76 IPS |
|
|
Machine Translation (F16)
|
100% |
522
9.60 IPS |
|
|
Machine Translation (I8)
|
99% |
499
9.18 IPS |
