Mac mini (Late 2020)
Geekbench AI Score
3234
Single Precision Score
14863
Half Precision Score
14430
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shivamagnot3 |
| Upload Date | August 26 2025 12:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
6201
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5877
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8860
143.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9308
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6511
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67998
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64422
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
6817
542.3 IPS |
|
|
Object Detection (Q)
|
91% |
6367
508.8 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
13727
163.1 IPS |
|
|
Face Detection (Q)
|
100% |
12313
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45360
349.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45033
351.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16959
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121083
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113562
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23908
882.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24052
888.1 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2832
48.9 IPS |
