Mac mini (Late 2020)
Geekbench AI Score
2878
Single Precision Score
14284
Half Precision Score
14146
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | February 18 2026 05:16 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
5861
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5465
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8471
137.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8787
142.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5550
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
65291
76.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
63282
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
6739
536.1 IPS |
|
|
Object Detection (Q)
|
91% |
6249
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
12659
150.4 IPS |
|
|
Face Detection (Q)
|
100% |
12866
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5031
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45210
348.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46338
362.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14767
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117062
150.5 IPS |
|
|
Style Transfer (Q)
|
96% |
110427
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3222
119.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23164
855.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24126
890.8 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2654
45.9 IPS |
