Mac mini (Late 2020)
Geekbench AI Score
2852
Single Precision Score
4281
Half Precision Score
3559
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | August 25 2024 04:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.5 IPS |
|
|
Image Classification (Q)
|
99% |
1692
315.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1156
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5869
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13575
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11587
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
1957
155.8 IPS |
|
|
Object Detection (Q)
|
94% |
1530
121.9 IPS |
|
|
Face Detection (SP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
2648
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8217
63.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3694
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15821
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24781
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24771
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3368
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4291
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3372
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3064
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3187
55.1 IPS |
