Mac mini (Late 2020)
Geekbench AI Score
2860
Single Precision Score
4328
Half Precision Score
3717
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 03:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (Q)
|
96% |
1284
239.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5871
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13541
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11715
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
1955
155.6 IPS |
|
|
Object Detection (Q)
|
94% |
1524
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2601
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8208
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6186
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15759
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24921
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20981
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3411
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3622
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3136
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
