Mac mini (Late 2020)
Geekbench AI Score
3139
Single Precision Score
13900
Half Precision Score
14131
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 02:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
6370
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6511
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6145
99.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6127
99.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6413
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
67936
79.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
65818
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.1 IPS |
|
|
Object Detection (HP)
|
99% |
7156
569.2 IPS |
|
|
Object Detection (Q)
|
91% |
6874
549.2 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12928
153.6 IPS |
|
|
Face Detection (Q)
|
100% |
14249
169.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44904
346.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
46772
361.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16426
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118777
152.7 IPS |
|
|
Style Transfer (Q)
|
100% |
125718
161.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3655
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23842
880.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24547
909.4 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2338
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2188
37.8 IPS |
