Mac mini (Late 2020)
Geekbench AI Score
3084
Single Precision Score
5155
Half Precision Score
4279
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 06:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2159
401.6 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13450
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11517
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2295
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
3055
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5430
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10001
77.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7113
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16135
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25796
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21450
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3440
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4332
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4317
74.6 IPS |
