Mac mini (Late 2020)
Geekbench AI Score
3077
Single Precision Score
5310
Half Precision Score
4306
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | April 10 2025 03:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
96% |
1506
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2451
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6131
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
13388
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11565
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2329
185.4 IPS |
|
|
Object Detection (Q)
|
94% |
1702
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5175
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
3058
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5527
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10300
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7291
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16379
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26287
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21559
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3454
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4504
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4429
76.5 IPS |
