Mac mini (Late 2020)
Geekbench AI Score
3021
Single Precision Score
5286
Half Precision Score
4344
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 10:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14147
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12166
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3194
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10454
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7397
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16488
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23223
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19530
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3060
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3983
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3086
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4699
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4688
81.0 IPS |
