Mac mini (Late 2020)
Geekbench AI Score
2837
Single Precision Score
4296
Half Precision Score
3574
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ranzi |
| Upload Date | August 15 2024 09:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (Q)
|
99% |
1689
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1159
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5861
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13555
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11585
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
1952
155.4 IPS |
|
|
Object Detection (Q)
|
94% |
1522
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
2646
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5253
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8221
63.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4008
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15605
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24777
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24837
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3376
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3087
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3081
53.2 IPS |
