Mac mini (Late 2020)
Geekbench AI Score
4557
Single Precision Score
4876
Half Precision Score
1683
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 10:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (Q)
|
97% |
1833
342.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3520
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16853
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18410
21.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (HP)
|
100% |
2533
200.9 IPS |
|
|
Object Detection (Q)
|
92% |
2060
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
6298
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
7677
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
5345
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12047
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13621
104.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28522
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34440
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31737
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6407
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5550
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
