BIOSTAR Group X670E VALKYRIE
Geekbench AI Score
8047
Single Precision Score
2906
Half Precision Score
14227
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 07:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | BIOSTAR Group X670E VALKYRIE |
| Motherboard | BIOSTAR Group X670E VALKYRIE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5383
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
896
166.6 IPS |
|
|
Image Classification (Q)
|
99% |
13315
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5593
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26197
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16162
18.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
87080
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
5998
475.8 IPS |
|
|
Object Detection (HP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (Q)
|
86% |
17578
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
11358
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
2638
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
16493
196.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21122
162.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4365
33.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
37728
301.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47311
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36721
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56045
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6406
237.2 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2096
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6367
127.9 IPS |
