ASUS System Product Name
Geekbench AI Score
15484
Single Precision Score
15404
Half Precision Score
36313
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 04 2025 05:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | 1usmus Ryzen Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7266
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7791
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
19115
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10855
176.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10009
162.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28565
463.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31644
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31757
37.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
128649
150.6 IPS |
|
|
Object Detection (SP)
|
100% |
8982
712.5 IPS |
|
|
Object Detection (HP)
|
100% |
9139
724.9 IPS |
|
|
Object Detection (Q)
|
88% |
21408
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
22868
271.7 IPS |
|
|
Face Detection (HP)
|
100% |
21566
256.3 IPS |
|
|
Face Detection (Q)
|
100% |
52322
621.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26050
200.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27827
214.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
73373
571.1 IPS |
|
|
Style Transfer (SP)
|
100% |
82249
105.7 IPS |
|
|
Style Transfer (HP)
|
100% |
80772
103.8 IPS |
|
|
Style Transfer (Q)
|
98% |
296157
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15319
565.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15251
563.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39870
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5127
6.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5932
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
9185
158.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8911
153.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9861
169.9 IPS |
