Mac mini (Late 2020)
Geekbench AI Score
5535
Single Precision Score
6451
Half Precision Score
5985
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | December 31 2025 06:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2350
437.1 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.2 IPS |
|
|
Image Classification (Q)
|
96% |
2463
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4043
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4314
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4151
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17203
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19377
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18728
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.3 IPS |
|
|
Object Detection (HP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (Q)
|
92% |
2479
197.9 IPS |
|
|
Face Detection (SP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8644
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
7143
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12456
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14149
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12813
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29198
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35380
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34376
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6631
244.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7530
278.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6135
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4310
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1561
27.0 IPS |
