Mac mini (Late 2020)
Geekbench AI Score
2742
Single Precision Score
4837
Half Precision Score
3973
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 18 2024 10:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
1872
348.1 IPS |
|
|
Image Classification (Q)
|
96% |
1402
261.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2335
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
11978
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10866
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2217
176.5 IPS |
|
|
Object Detection (Q)
|
94% |
1610
128.4 IPS |
|
|
Face Detection (SP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2695
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5035
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9701
75.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7126
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14747
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24948
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20342
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3226
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4514
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3222
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3293
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3444
59.5 IPS |
