Gigabyte Technology Co., Ltd. B250M-DS3H
Geekbench AI Score
3240
Single Precision Score
3181
Half Precision Score
2401
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 08:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B250M-DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B250M-DS3H-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (Q)
|
99% |
603
112.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17596
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9627
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14908
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (Q)
|
83% |
878
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
1679
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6426
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5836
45.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5147
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29845
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17780
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23936
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6206
229.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4497
166.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4122
152.6 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
627
840.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2022
35.0 IPS |
|
|
Machine Translation (Q)
|
70% |
868
16.3 IPS |
