Gigabyte Technology Co., Ltd. B250M-HD3
Geekbench AI Score
1387
Single Precision Score
2044
Half Precision Score
1902
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | aeonsim |
| Upload Date | August 24 2024 07:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| 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% |
906
168.6 IPS |
|
|
Image Classification (HP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
1265
235.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1571
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
2164
2.53 IPS |
|
|
Pose Estimation (Q)
|
97% |
3085
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.4 IPS |
|
|
Object Detection (HP)
|
99% |
1360
108.2 IPS |
|
|
Object Detection (Q)
|
88% |
1271
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (Q)
|
97% |
3609
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2738
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4391
33.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
3901
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6509
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
8428
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7381
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1781
66.0 IPS |
|
|
Text Classification (SP)
|
71% |
509
736.1 IPS |
|
|
Text Classification (HP)
|
71% |
661
956.0 IPS |
|
|
Text Classification (Q)
|
92% |
484
650.3 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
97% |
912
15.8 IPS |
|
|
Machine Translation (Q)
|
90% |
888
15.4 IPS |
