Mac mini (Late 2020)
Geekbench AI Score
5568
Single Precision Score
6461
Half Precision Score
6007
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2026 01:22 AM |
| Views | 4 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2453
456.2 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.1 IPS |
|
|
Image Classification (Q)
|
96% |
2383
445.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4305
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4139
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17241
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19365
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18719
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2765
219.3 IPS |
|
|
Object Detection (Q)
|
92% |
2483
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
7146
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12438
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14063
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12934
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29267
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35541
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34459
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6698
247.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7510
277.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6160
227.5 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4373
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4356
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1562
27.0 IPS |
