Mac mini (Late 2020)
Geekbench AI Score
3032
Single Precision Score
16148
Half Precision Score
15938
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 18 2024 10:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
6236
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5980
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9846
159.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10034
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
70341
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
68211
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
99% |
7482
595.2 IPS |
|
|
Object Detection (Q)
|
91% |
6982
557.9 IPS |
|
|
Face Detection (SP)
|
100% |
2776
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
16942
201.3 IPS |
|
|
Face Detection (Q)
|
100% |
14658
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5174
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48434
373.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
48377
378.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14493
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119547
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114754
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3318
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22886
845.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24064
888.6 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4765
82.3 IPS |
