Mac mini (Late 2020)
Geekbench AI Score
4966
Single Precision Score
5817
Half Precision Score
5205
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonya1 |
| Upload Date | January 07 2025 04:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2435
452.9 IPS |
|
|
Image Classification (HP)
|
100% |
2496
464.2 IPS |
|
|
Image Classification (Q)
|
97% |
2291
427.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2684
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3664
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3730
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17095
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18668
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17421
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (Q)
|
91% |
2273
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
6591
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
8047
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
5787
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12312
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13849
106.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11629
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28929
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34681
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33077
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6663
246.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7358
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5576
205.9 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
866
15.0 IPS |
