Mac mini (Late 2020)
Geekbench AI Score
3071
Single Precision Score
5178
Half Precision Score
4275
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 06:25 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
2165
402.7 IPS |
|
|
Image Classification (Q)
|
96% |
1533
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6121
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13340
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11528
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
5197
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3051
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5408
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9985
77.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7087
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15979
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26220
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21384
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4384
75.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4342
75.0 IPS |
