ASUS System ROG CROSSHAIR X670E HERO Curve CCD Sharp Mem 6000 MHz CL 30 ASUS System Product Name
Geekbench AI Score
15093
Single Precision Score
15080
Half Precision Score
35905
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jobert |
| Upload Date | August 19 2025 09:55 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% |
7332
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7338
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
18461
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9600
155.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9609
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28119
455.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32483
37.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32026
37.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
128755
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8605
682.6 IPS |
|
|
Object Detection (HP)
|
100% |
9169
727.3 IPS |
|
|
Object Detection (Q)
|
88% |
20785
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
20163
239.6 IPS |
|
|
Face Detection (HP)
|
100% |
20111
239.0 IPS |
|
|
Face Detection (Q)
|
100% |
56316
669.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26596
204.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25489
196.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
68948
536.6 IPS |
|
|
Style Transfer (SP)
|
100% |
82084
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
83008
106.7 IPS |
|
|
Style Transfer (Q)
|
98% |
297516
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15499
572.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15559
574.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40944
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5143
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5081
6.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5733
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
8888
153.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8735
150.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9454
162.9 IPS |
