Mac mini (Late 2020)
Geekbench AI Score
4765
Single Precision Score
5746
Half Precision Score
5016
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | petergraening |
| Upload Date | January 17 2025 04:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2243
417.1 IPS |
|
|
Image Classification (HP)
|
100% |
2554
475.0 IPS |
|
|
Image Classification (Q)
|
97% |
2159
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15851
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17129
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16299
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
100% |
2745
217.7 IPS |
|
|
Object Detection (Q)
|
91% |
2146
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
6303
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
7851
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
5474
65.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11383
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12747
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10422
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27052
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32559
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30534
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6151
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5201
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
