Mac mini (Late 2020)
Geekbench AI Score
3157
Single Precision Score
5239
Half Precision Score
4333
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 28 2025 10:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (Q)
|
96% |
1538
287.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6403
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13690
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11848
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1765
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10938
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7558
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16484
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26146
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21798
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4545
167.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2431
41.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3619
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4086
70.6 IPS |
