Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench AI Score
31055
Single Precision Score
49770
Half Precision Score
24408
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | r3design |
| Upload Date | August 24 2025 01:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12299
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
17246
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
11115
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20497
332.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26410
428.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18576
302.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
187023
218.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
673594
786.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
169147
198.1 IPS |
|
|
Object Detection (SP)
|
100% |
15859
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
23738
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
13689
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
45403
539.5 IPS |
|
|
Face Detection (HP)
|
100% |
60147
714.7 IPS |
|
|
Face Detection (Q)
|
97% |
38070
453.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87843
676.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
146229
1.13 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65758
525.1 IPS |
|
|
Style Transfer (SP)
|
100% |
338074
434.6 IPS |
|
|
Style Transfer (HP)
|
100% |
976230
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
283925
366.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47835
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72432
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37134
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2163
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5489
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2750
51.6 IPS |
