Mac mini (Late 2020)
Geekbench AI Score
3239
Single Precision Score
5417
Half Precision Score
4444
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shivamagnot3 |
| Upload Date | August 26 2025 12:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2539
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14253
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12233
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3191
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10337
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7337
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16951
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26721
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22248
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4543
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3496
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4663
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4662
80.6 IPS |
