ASUS System Product Name
Geekbench AI Score
15846
Single Precision Score
15673
Half Precision Score
37326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 26 2025 05:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (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% |
7607
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7382
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
19780
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10545
170.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10502
170.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31010
502.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33830
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33922
39.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
131570
154.0 IPS |
|
|
Object Detection (SP)
|
100% |
9377
743.8 IPS |
|
|
Object Detection (HP)
|
100% |
9237
732.7 IPS |
|
|
Object Detection (Q)
|
88% |
20639
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
22526
267.7 IPS |
|
|
Face Detection (HP)
|
100% |
20486
243.4 IPS |
|
|
Face Detection (Q)
|
100% |
56373
669.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26898
207.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26913
207.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
74644
581.0 IPS |
|
|
Style Transfer (SP)
|
100% |
86041
110.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86702
111.5 IPS |
|
|
Style Transfer (Q)
|
98% |
304621
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15456
570.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15695
579.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41855
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5294
7.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5375
7.17 KIPS |
|
|
Text Classification (Q)
|
92% |
6142
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
9196
158.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9133
157.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9565
164.8 IPS |
