Mac mini (Late 2020)
Geekbench AI Score
3156
Single Precision Score
5332
Half Precision Score
4383
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6430
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14091
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12113
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2375
189.0 IPS |
|
|
Object Detection (Q)
|
94% |
1767
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5230
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
3089
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5579
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7332
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16641
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26759
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22276
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4423
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4402
76.1 IPS |
