Mac mini (Late 2020)
Geekbench AI Score
3134
Single Precision Score
16204
Half Precision Score
15985
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | April 10 2025 03:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
6321
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6036
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9687
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10118
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
70496
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68059
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
7550
600.6 IPS |
|
|
Object Detection (Q)
|
91% |
6999
559.3 IPS |
|
|
Face Detection (SP)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
16882
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
16196
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50631
390.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
51538
402.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16462
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
123173
158.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118572
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24355
899.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25345
935.9 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3648
63.0 IPS |
