Mac mini (Late 2020)
Geekbench AI Score
1774
Single Precision Score
12513
Half Precision Score
12774
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 15 2024 03:43 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
6389
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6551
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4216
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5665
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
67917
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64528
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
99% |
7185
571.5 IPS |
|
|
Object Detection (Q)
|
93% |
6650
530.6 IPS |
|
|
Face Detection (SP)
|
100% |
1814
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
12492
148.4 IPS |
|
|
Face Detection (Q)
|
100% |
12778
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44932
346.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47092
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9848
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119424
153.5 IPS |
|
|
Style Transfer (Q)
|
100% |
124869
160.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18017
665.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20565
761.9 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.2 IPS |
|
|
Text Classification (HP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2756
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2293
39.6 IPS |
