Mac mini (Late 2020)
Geekbench AI Score
3216
Single Precision Score
16076
Half Precision Score
15768
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | heartcrazed |
| Upload Date | February 09 2025 12:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
6392
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6091
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9707
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10023
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69841
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66835
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7356
585.2 IPS |
|
|
Object Detection (Q)
|
91% |
6911
552.2 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16930
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
15530
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5816
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48873
376.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49338
385.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16859
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
123023
158.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116413
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23943
884.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24649
910.2 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3801
65.7 IPS |
