Mac mini (Late 2020)
Geekbench ML Score
6803
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 07:37 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1632
305.4 IPS |
|
|
Image Classification (F16)
|
100% |
6063
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6353
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1150
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1147
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16253
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
62784
76.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
63845
77.3 IPS |
|
|
Object Detection (F32)
|
100% |
1641
122.5 IPS |
|
|
Object Detection (F16)
|
100% |
3940
294.1 IPS |
|
|
Object Detection (I8)
|
97% |
1511
112.8 IPS |
|
|
Face Detection (F32)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (F16)
|
97% |
12052
143.3 IPS |
|
|
Face Detection (I8)
|
96% |
12045
143.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11992
93.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
40632
315.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
41894
324.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28501
37.5 IPS |
|
|
Style Transfer (F16)
|
100% |
114856
151.1 IPS |
|
|
Style Transfer (I8)
|
100% |
119180
156.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5286
188.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23781
849.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23858
852.1 IPS |
|
|
Text Classification (F32)
|
100% |
2137
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3661
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3673
5.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
531
9.76 IPS |
|
|
Machine Translation (F16)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
504
9.28 IPS |
