ASUS System Product Name
Geekbench AI Score
16132
Single Precision Score
15869
Half Precision Score
36970
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | May 04 2025 05:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 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% |
8341
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
7877
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
19435
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10645
172.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10632
172.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27723
449.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33270
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33354
38.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
131242
153.6 IPS |
|
|
Object Detection (SP)
|
100% |
9242
733.1 IPS |
|
|
Object Detection (HP)
|
100% |
9359
742.3 IPS |
|
|
Object Detection (Q)
|
88% |
22474
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
22023
261.7 IPS |
|
|
Face Detection (HP)
|
100% |
21892
260.1 IPS |
|
|
Face Detection (Q)
|
100% |
53820
639.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27568
212.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27419
211.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
75857
590.4 IPS |
|
|
Style Transfer (SP)
|
100% |
85938
110.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85686
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
301112
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15678
578.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15574
575.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39467
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5556
7.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5319
7.10 KIPS |
|
|
Text Classification (Q)
|
92% |
6512
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
9625
165.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9095
156.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9500
163.6 IPS |
