Mac mini (Late 2020)
Geekbench AI Score
3152
Single Precision Score
16263
Half Precision Score
16052
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kirbalo |
| Upload Date | August 04 2025 09:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9765
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10342
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6359
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
70590
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
68098
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
7517
597.9 IPS |
|
|
Object Detection (Q)
|
91% |
7035
562.1 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
16937
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
16147
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50758
391.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
51461
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
124781
160.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118877
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3650
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24385
900.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25014
923.6 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3778
65.3 IPS |
