Mac mini (Late 2020)
Geekbench AI Score
4149
Single Precision Score
4863
Half Precision Score
4417
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | steventroughtonsmith |
| Upload Date | August 16 2024 12:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
1901
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
99% |
1997
372.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3510
56.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17037
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18304
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16619
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (Q)
|
92% |
2041
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
6384
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
5332
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11972
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13488
103.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
13387
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28500
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34307
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34110
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6453
238.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5484
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1142
19.7 IPS |
