Mac mini (Late 2020)
Geekbench AI Score
5265
Single Precision Score
6230
Half Precision Score
5421
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dr3d |
| Upload Date | December 26 2024 12:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2799
520.6 IPS |
|
|
Image Classification (HP)
|
100% |
3009
559.5 IPS |
|
|
Image Classification (Q)
|
97% |
2437
454.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3741
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3811
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17265
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18794
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17416
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
2916
231.3 IPS |
|
|
Object Detection (Q)
|
91% |
2361
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
6956
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
8830
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6077
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12439
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13857
106.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11604
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29169
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35184
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33333
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7715
284.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5685
209.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1089
18.8 IPS |
