ASUS System Product Name
Geekbench AI Score
12913
Single Precision Score
13075
Half Precision Score
31565
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 11:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6806
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6859
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
17840
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9124
147.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9056
146.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26147
423.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23282
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23230
27.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
91441
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
7702
610.9 IPS |
|
|
Object Detection (HP)
|
100% |
7768
616.2 IPS |
|
|
Object Detection (Q)
|
88% |
19281
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
18724
222.5 IPS |
|
|
Face Detection (HP)
|
100% |
18524
220.1 IPS |
|
|
Face Detection (Q)
|
100% |
52168
619.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23473
180.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23066
177.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
60586
471.5 IPS |
|
|
Style Transfer (SP)
|
100% |
60351
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59935
77.0 IPS |
|
|
Style Transfer (Q)
|
98% |
211932
273.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12008
443.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12151
448.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35077
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
92% |
5516
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
7670
132.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8589
147.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9214
158.7 IPS |
