Mac mini (Late 2020)
Geekbench AI Score
4848
Single Precision Score
5829
Half Precision Score
4296
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 02:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
2666
495.8 IPS |
|
|
Image Classification (Q)
|
99% |
2413
450.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16351
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18222
21.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
16606
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
2752
218.3 IPS |
|
|
Object Detection (Q)
|
91% |
2149
171.7 IPS |
|
|
Face Detection (SP)
|
100% |
6335
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
8217
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
5436
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11825
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13392
103.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1962
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28195
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34753
44.7 IPS |
|
|
Style Transfer (Q)
|
100% |
34177
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6357
234.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5178
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1021
17.6 IPS |
