Mac mini (Late 2020)
Geekbench AI Score
4458
Single Precision Score
4842
Half Precision Score
4285
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ranzi |
| Upload Date | August 15 2024 09:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (Q)
|
99% |
1957
365.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3667
59.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17112
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18623
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16714
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2792
221.5 IPS |
|
|
Object Detection (HP)
|
100% |
2904
230.3 IPS |
|
|
Object Detection (Q)
|
92% |
2216
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6657
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8266
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
5547
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12651
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14012
108.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
14008
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28989
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34877
44.8 IPS |
|
|
Style Transfer (Q)
|
100% |
34842
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6785
250.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7855
290.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5917
219.2 IPS |
|
|
Text Classification (SP)
|
100% |
542
722.8 IPS |
|
|
Text Classification (HP)
|
100% |
424
565.8 IPS |
|
|
Text Classification (Q)
|
93% |
420
564.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
