Mac mini (Late 2020)
Geekbench ML Score
7042
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 02:43 PM |
| Views | 2 |
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% |
1807
338.2 IPS |
|
|
Image Classification (F16)
|
100% |
6135
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6424
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3720
62.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3812
63.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16161
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
62874
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
63893
77.4 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
3953
295.1 IPS |
|
|
Object Detection (I8)
|
97% |
1540
115.0 IPS |
|
|
Face Detection (F32)
|
100% |
5727
68.1 IPS |
|
|
Face Detection (F16)
|
97% |
11452
136.2 IPS |
|
|
Face Detection (I8)
|
96% |
10166
120.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12295
95.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
40391
313.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
41228
319.7 IPS |
|
|
Style Transfer (F32)
|
100% |
28733
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
114068
150.0 IPS |
|
|
Style Transfer (I8)
|
100% |
119572
157.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5492
196.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18127
647.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18152
648.2 IPS |
|
|
Text Classification (F32)
|
100% |
997
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
2467
3.55 KIPS |
|
|
Text Classification (I8)
|
96% |
2299
3.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
703
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2069
38.1 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
