Mac mini (Late 2020)
Geekbench AI Score
4450
Single Precision Score
4681
Half Precision Score
1663
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 08:43 PM |
| Views | 6 |
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% |
1939
360.5 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (Q)
|
97% |
1823
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2679
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3521
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3528
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16796
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18313
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
16609
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.1 IPS |
|
|
Object Detection (HP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (Q)
|
92% |
2042
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
6271
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
5320
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11918
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13712
105.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28544
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34229
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31914
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6335
233.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7158
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5551
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
525
701.0 IPS |
|
|
Text Classification (Q)
|
93% |
683
916.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1153
19.9 IPS |
