Mac mini (Late 2020)
Geekbench AI Score
3221
Single Precision Score
5285
Half Precision Score
4387
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13945
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12077
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5467
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11089
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7713
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16686
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25995
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21355
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3348
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3783
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4251
73.5 IPS |
