Mac mini (Late 2020)
Geekbench AI Score
3206
Single Precision Score
16069
Half Precision Score
15671
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 01 2025 09:59 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6423
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6085
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9837
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10177
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6485
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69095
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66287
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7585
603.4 IPS |
|
|
Object Detection (Q)
|
91% |
6755
539.7 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
17031
202.4 IPS |
|
|
Face Detection (Q)
|
100% |
15593
185.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48721
375.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
49492
386.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16726
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122533
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116278
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23797
878.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24458
903.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3701
64.0 IPS |
