Mac mini (Late 2020)
Geekbench AI Score
3206
Single Precision Score
15156
Half Precision Score
14892
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | paulofduarte |
| Upload Date | November 13 2024 09:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
5867
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5574
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9445
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9769
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68676
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66447
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
6773
538.8 IPS |
|
|
Object Detection (Q)
|
91% |
6277
501.6 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
15369
182.6 IPS |
|
|
Face Detection (Q)
|
100% |
14393
171.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47055
362.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46926
366.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119855
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114554
147.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23657
873.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24085
889.4 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3326
57.5 IPS |
