ASUS System ROG CROSSHAIR X670E HERO Curve CCD Sharp Mem 6000 MHz CL 30 ASUS System Product Name
Geekbench AI Score
14857
Single Precision Score
14689
Half Precision Score
35223
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jobert |
| Upload Date | August 19 2025 09:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Utilisation normale |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7392
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7080
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
18722
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9779
158.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9741
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27363
443.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32636
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32082
37.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
127098
148.8 IPS |
|
|
Object Detection (SP)
|
100% |
8362
663.3 IPS |
|
|
Object Detection (HP)
|
100% |
7910
627.4 IPS |
|
|
Object Detection (Q)
|
88% |
21081
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
19193
228.1 IPS |
|
|
Face Detection (HP)
|
100% |
19224
228.4 IPS |
|
|
Face Detection (Q)
|
100% |
51402
610.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25361
195.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25784
198.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
67425
524.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80612
103.6 IPS |
|
|
Style Transfer (HP)
|
100% |
81285
104.5 IPS |
|
|
Style Transfer (Q)
|
98% |
297693
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15286
564.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15258
563.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39632
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5106
6.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4954
6.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5753
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
8673
149.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8776
151.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9106
156.9 IPS |
