ASUS System ROG CROSSHAIR X670E HERO Curve CCD Sharp Mem 6000 MHz CL 30 ASUS System Product Name
Geekbench AI Score
14975
Single Precision Score
14930
Half Precision Score
35526
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jobert |
| Upload Date | August 19 2025 09:56 AM |
| Views | 9 |
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% |
7625
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7755
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
17623
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9402
152.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26815
434.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32384
37.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32010
37.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
128930
150.9 IPS |
|
|
Object Detection (SP)
|
100% |
8679
688.4 IPS |
|
|
Object Detection (HP)
|
100% |
8774
696.0 IPS |
|
|
Object Detection (Q)
|
88% |
20929
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
20052
238.3 IPS |
|
|
Face Detection (HP)
|
100% |
18185
216.1 IPS |
|
|
Face Detection (Q)
|
100% |
56667
673.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24887
191.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25766
198.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
67650
526.4 IPS |
|
|
Style Transfer (SP)
|
100% |
83112
106.8 IPS |
|
|
Style Transfer (HP)
|
100% |
82773
106.4 IPS |
|
|
Style Transfer (Q)
|
98% |
297550
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15101
557.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15360
567.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39601
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5017
6.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5909
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
8963
154.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8714
150.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9409
162.1 IPS |
