Mac mini (Late 2020)
Geekbench AI Score
5439
Single Precision Score
6362
Half Precision Score
5924
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shivamagnot3 |
| Upload Date | August 26 2025 12:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.7 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4038
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4305
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4133
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17188
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19301
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18754
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2499
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
6932
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
8688
103.2 IPS |
|
|
Face Detection (Q)
|
100% |
7098
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12406
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14030
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
12810
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29123
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35362
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34208
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6555
242.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7356
271.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6179
228.2 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1542
26.6 IPS |
