Mac mini (Late 2020)
Geekbench AI Score
3003
Single Precision Score
5223
Half Precision Score
4296
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | CoryCooper |
| Upload Date | February 01 2026 10:58 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (Q)
|
96% |
1494
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2419
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5578
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13085
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11363
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2396
190.7 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5468
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10472
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7379
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16552
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24485
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20559
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3245
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3275
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4466
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4642
80.2 IPS |
