Mac mini (Late 2020)
Geekbench AI Score
3066
Single Precision Score
5402
Half Precision Score
4442
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2521
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5973
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14072
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12075
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1769
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3150
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5332
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10267
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7342
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16304
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26227
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21828
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3493
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4304
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4212
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4703
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4716
81.5 IPS |
