Mac mini (Late 2020)
Geekbench AI Score
3227
Single Precision Score
5259
Half Precision Score
4402
Quantized Score
Geekbench AI 1.4.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13937
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12070
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2429
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5390
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11083
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16759
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26641
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22227
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3373
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3627
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4284
74.0 IPS |
