ASUS System Product Name
Geekbench AI Score
15383
Single Precision Score
15576
Half Precision Score
36433
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | May 17 2025 06:21 AM |
| Views | 4 |
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% |
8108
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
7598
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18997
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10282
166.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10014
162.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27259
441.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33060
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33505
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
131349
153.8 IPS |
|
|
Object Detection (SP)
|
100% |
8662
687.1 IPS |
|
|
Object Detection (HP)
|
100% |
9445
749.2 IPS |
|
|
Object Detection (Q)
|
88% |
22100
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
19734
234.5 IPS |
|
|
Face Detection (HP)
|
100% |
19452
231.1 IPS |
|
|
Face Detection (Q)
|
100% |
57766
686.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26750
206.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28600
220.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
73322
570.7 IPS |
|
|
Style Transfer (SP)
|
100% |
85386
109.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85523
109.9 IPS |
|
|
Style Transfer (Q)
|
98% |
302138
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15595
575.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15551
574.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39783
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4774
6.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5076
6.77 KIPS |
|
|
Text Classification (Q)
|
92% |
5771
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
9263
159.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9295
160.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9330
160.7 IPS |
