Mac mini (Late 2020)
Geekbench AI Score
4302
Single Precision Score
5308
Half Precision Score
4696
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 07 2024 04:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1834
341.0 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (Q)
|
97% |
1567
292.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13535
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17300
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14960
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (Q)
|
91% |
2088
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
8184
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
5498
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11148
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13043
100.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10040
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27932
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33662
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31280
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6467
238.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7245
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5145
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
