Mac mini (Late 2020)
Geekbench AI Score
4356
Single Precision Score
4847
Half Precision Score
1668
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 09:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1900
353.3 IPS |
|
|
Image Classification (HP)
|
100% |
1959
364.4 IPS |
|
|
Image Classification (Q)
|
97% |
1805
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16815
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18333
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
16602
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (Q)
|
92% |
2042
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
7377
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
5189
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12006
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13592
104.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28695
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34519
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31813
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6356
234.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7187
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5545
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
741
988.6 IPS |
|
|
Text Classification (Q)
|
93% |
737
989.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1148
19.8 IPS |
