Mac mini (Late 2020)
Geekbench AI Score
5367
Single Precision Score
6279
Half Precision Score
5820
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2479
460.9 IPS |
|
|
Image Classification (HP)
|
100% |
2642
491.3 IPS |
|
|
Image Classification (Q)
|
96% |
2439
455.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3965
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16389
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18444
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18066
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
92% |
2326
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
8205
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
6587
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11665
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13430
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12389
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27911
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33917
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33396
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6308
232.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6131
226.4 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4098
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1604
27.7 IPS |
