Mac mini (Late 2020)
Geekbench AI Score
4965
Single Precision Score
5780
Half Precision Score
5179
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:38 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
2354
437.8 IPS |
|
|
Image Classification (HP)
|
100% |
2431
452.1 IPS |
|
|
Image Classification (Q)
|
97% |
2231
416.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3666
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17178
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18694
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17276
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
2687
213.2 IPS |
|
|
Object Detection (Q)
|
91% |
2237
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
8157
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
5775
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12172
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13646
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11282
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29205
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34979
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32662
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6493
239.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7275
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5545
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
934
16.1 IPS |
