Gigabyte Technology Co., Ltd. B560M DS3H
Geekbench AI Score
2658
Single Precision Score
829
Half Precision Score
3989
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | notz |
| Upload Date | December 27 2024 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Gigabyte Technology Co., Ltd. B560M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B560M DS3H |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
97% |
3482
649.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5426
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4132
4.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
17990
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
88% |
1978
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
3872
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.58 IPS |
|
|
Depth Estimation (Q)
|
77% |
5735
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12221
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8982
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13360
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3854
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
705
941.6 IPS |
|
|
Text Classification (Q)
|
97% |
1743
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
60% |
1692
37.7 IPS |
