Mac mini (Late 2020)
Geekbench AI Score
5447
Single Precision Score
6317
Half Precision Score
5930
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 12:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2331
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
2329
433.0 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4094
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17178
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19290
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18753
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (Q)
|
92% |
2470
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6626
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
8364
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
6980
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12285
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14001
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12932
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28979
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35324
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34246
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6526
241.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7552
278.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6341
234.1 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1568
27.1 IPS |
