Mac mini (Late 2020)
Geekbench AI Score
3198
Single Precision Score
5348
Half Precision Score
4412
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 12:31 PM |
| Views | 7 |
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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2526
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6518
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14227
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12226
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2392
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5313
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3133
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10436
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7393
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16951
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26982
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22412
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4500
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4502
77.8 IPS |
