Mac mini (Late 2020)
Geekbench AI Score
3245
Single Precision Score
5332
Half Precision Score
4408
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | September 13 2024 07:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1405
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.7 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6554
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12080
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2436
193.9 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5438
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11126
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7699
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17103
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26760
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22264
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4657
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3849
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4243
73.3 IPS |
