Mac mini (Late 2020)
Geekbench AI Score
4984
Single Precision Score
5832
Half Precision Score
5236
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 03:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
2381
442.9 IPS |
|
|
Image Classification (HP)
|
100% |
2423
450.6 IPS |
|
|
Image Classification (Q)
|
97% |
2231
416.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3667
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3756
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17169
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18734
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17453
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2710
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
2716
215.4 IPS |
|
|
Object Detection (Q)
|
91% |
2239
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
6625
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
8241
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
5834
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12434
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13982
107.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11352
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29186
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34780
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32737
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6632
244.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7446
274.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5648
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
