Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench AI Score
29169
Single Precision Score
46836
Half Precision Score
22808
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | r3design |
| Upload Date | April 21 2025 02:24 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11962
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
16812
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
10716
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18721
303.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24487
397.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17001
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
174245
203.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
624486
728.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
157343
184.3 IPS |
|
|
Object Detection (SP)
|
100% |
14948
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
22832
1.81 KIPS |
|
|
Object Detection (Q)
|
86% |
12615
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
43008
511.0 IPS |
|
|
Face Detection (HP)
|
100% |
56998
677.3 IPS |
|
|
Face Detection (Q)
|
97% |
36057
429.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
81723
629.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
130911
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61187
488.6 IPS |
|
|
Style Transfer (SP)
|
100% |
311986
401.1 IPS |
|
|
Style Transfer (HP)
|
100% |
904660
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
260821
336.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43837
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68881
2.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34536
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3113
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5077
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2603
48.8 IPS |
