Gigabyte Technology Co., Ltd. B250M-HD3
Geekbench AI Score
949
Single Precision Score
389
Half Precision Score
1199
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | aeonsim |
| Upload Date | August 24 2024 07:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-7100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Gigabyte Technology Co., Ltd. B250M-HD3 |
| Motherboard | Gigabyte Technology Co., Ltd. B250M-HD3-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i3-7100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
94% |
813
151.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
807
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (Q)
|
87% |
2582
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
86% |
423
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (Q)
|
96% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1767
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
569
4.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
1569
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3285
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
2877
3.70 IPS |
|
|
Style Transfer (Q)
|
87% |
4647
6.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1127
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
627
837.0 IPS |
|
|
Text Classification (HP)
|
100% |
372
495.9 IPS |
|
|
Text Classification (Q)
|
97% |
735
985.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (Q)
|
60% |
844
18.8 IPS |
