Mac mini (Late 2020)
Geekbench AI Score
2839
Single Precision Score
4293
Half Precision Score
3554
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | LuckyAdrian |
| Upload Date | August 15 2024 05:27 PM |
| Views | 4 |
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% |
1302
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (Q)
|
99% |
1670
311.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1175
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5794
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
13322
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11375
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
1936
154.1 IPS |
|
|
Object Detection (Q)
|
94% |
1492
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2599
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5143
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8027
62.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3979
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15610
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24668
31.7 IPS |
|
|
Style Transfer (Q)
|
100% |
24708
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3350
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3327
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3618
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3153
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
