Mac mini (Late 2020)
Geekbench AI Score
5513
Single Precision Score
6388
Half Precision Score
5980
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ahirz |
| Upload Date | August 24 2025 08:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2398
445.9 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.2 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4066
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4270
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16887
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19092
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18593
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2710
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
92% |
2445
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
6679
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
6802
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12245
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13955
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12650
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29471
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35898
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34825
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6693
247.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7670
283.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6489
239.6 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1586
27.4 IPS |
