ASUS System Product Name
Geekbench AI Score
8806
Single Precision Score
3012
Half Precision Score
14335
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | October 19 2025 04:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5712
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
99% |
13092
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3101
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5676
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
30457
35.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17623
20.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
89731
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
6237
494.7 IPS |
|
|
Object Detection (HP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (Q)
|
86% |
16417
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
11713
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
16252
193.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21763
167.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4384
33.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
34256
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52837
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39680
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
63361
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3942
145.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6429
238.1 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2166
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
6819
137.0 IPS |
