Mac mini (Late 2020)
Geekbench ML Score
6952
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:11 AM |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1792
335.3 IPS |
|
|
Image Classification (F16)
|
100% |
6301
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6421
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3768
62.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3853
64.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16634
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
63674
77.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64217
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
1527
114.0 IPS |
|
|
Object Detection (F16)
|
100% |
4078
304.5 IPS |
|
|
Object Detection (I8)
|
97% |
1481
110.5 IPS |
|
|
Face Detection (F32)
|
100% |
5775
68.7 IPS |
|
|
Face Detection (F16)
|
97% |
11519
137.0 IPS |
|
|
Face Detection (I8)
|
96% |
10500
124.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12273
95.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
39785
308.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
45992
356.7 IPS |
|
|
Style Transfer (F32)
|
100% |
28951
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
115052
151.3 IPS |
|
|
Style Transfer (I8)
|
100% |
120696
158.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5913
211.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18288
653.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18187
649.5 IPS |
|
|
Text Classification (F32)
|
100% |
512
736.3 IPS |
|
|
Text Classification (F16)
|
100% |
2321
3.34 KIPS |
|
|
Text Classification (I8)
|
96% |
2301
3.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
681
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2131
39.2 IPS |
|
|
Machine Translation (I8)
|
99% |
662
12.2 IPS |
