Mac mini (Late 2020)
Geekbench AI Score
4114
Single Precision Score
4969
Half Precision Score
4676
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 18 2024 10:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
1816
337.7 IPS |
|
|
Image Classification (Q)
|
97% |
1947
363.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2647
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14710
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17837
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15529
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (Q)
|
91% |
1828
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
5002
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
6641
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
4321
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10483
80.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11023
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11227
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27664
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30501
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32454
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6254
230.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7106
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5649
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
774
13.4 IPS |
