Mac mini (Late 2020)
Geekbench AI Score
2813
Single Precision Score
14430
Half Precision Score
14404
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | hakara |
| Upload Date | December 21 2025 03:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
6082
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5776
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8461
137.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9053
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5519
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
66355
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64826
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
99% |
6970
554.5 IPS |
|
|
Object Detection (Q)
|
91% |
6419
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
12729
151.2 IPS |
|
|
Face Detection (Q)
|
100% |
12347
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4884
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46911
361.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48643
380.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15333
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119355
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116494
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24552
906.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25261
932.8 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2512
43.4 IPS |
