Mac mini (Late 2020)
Geekbench AI Score
3218
Single Precision Score
5316
Half Precision Score
4388
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gbench |
| Upload Date | December 07 2024 08:03 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.1 IPS |
|
|
Image Classification (Q)
|
96% |
1556
290.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2566
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6528
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13878
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11995
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2418
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5504
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11038
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7637
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26128
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21928
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4421
163.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3372
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4053
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3889
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.0 IPS |
