Mac mini (Late 2020)
Geekbench AI Score
3137
Single Precision Score
13792
Half Precision Score
13985
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | August 16 2024 06:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
6279
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6535
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5924
96.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6121
99.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
67306
78.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
65623
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
99% |
7010
557.7 IPS |
|
|
Object Detection (Q)
|
91% |
6660
532.2 IPS |
|
|
Face Detection (SP)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
12957
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
13902
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44742
344.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
46793
361.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16531
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117652
151.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123293
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23498
867.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24135
894.2 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3825
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2212
38.2 IPS |
