Mac mini (Late 2020)
Geekbench AI Score
4045
Single Precision Score
4563
Half Precision Score
4055
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Markus2801A |
| Upload Date | August 16 2024 11:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.2 IPS |
|
|
Image Classification (Q)
|
99% |
1556
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3251
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15858
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17892
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16330
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
2547
202.1 IPS |
|
|
Object Detection (Q)
|
92% |
2051
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
6368
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
5076
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11820
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13563
104.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11857
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26348
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31617
40.6 IPS |
|
|
Style Transfer (Q)
|
100% |
32564
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5459
202.3 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
93% |
586
786.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1133
19.6 IPS |
