AMD Ryzen 9 9950X - OpenVINO ASUS System Product Name
Geekbench AI Score
11648
Single Precision Score
11596
Half Precision Score
29622
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | October 17 2025 01:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6237
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6749
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
15876
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8665
140.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8060
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22534
365.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21099
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21643
25.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
90257
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
7321
580.7 IPS |
|
|
Object Detection (HP)
|
100% |
7433
589.6 IPS |
|
|
Object Detection (Q)
|
88% |
17107
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
16127
191.6 IPS |
|
|
Face Detection (HP)
|
100% |
15123
179.7 IPS |
|
|
Face Detection (Q)
|
100% |
47818
568.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18475
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18342
141.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
56271
437.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53190
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56078
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
218353
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11806
435.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11395
420.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32650
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5764
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7038
121.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7009
120.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8518
146.7 IPS |
