ASUS System Product Name
Geekbench AI Score
13640
Single Precision Score
13470
Half Precision Score
33260
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 02:22 PM |
| Views | 3 |
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 | Equilibrado |
| 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% |
6956
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6993
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
18270
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9090
147.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9618
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26533
430.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25832
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25954
30.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
102350
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
8156
646.9 IPS |
|
|
Object Detection (HP)
|
100% |
8150
646.5 IPS |
|
|
Object Detection (Q)
|
88% |
20474
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
19259
228.8 IPS |
|
|
Face Detection (HP)
|
100% |
17097
203.2 IPS |
|
|
Face Detection (Q)
|
100% |
55430
658.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24130
185.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23399
180.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
63241
492.1 IPS |
|
|
Style Transfer (SP)
|
100% |
66051
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66049
84.9 IPS |
|
|
Style Transfer (Q)
|
98% |
233942
301.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12754
470.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12843
474.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37878
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
5001
6.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
8549
147.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8313
143.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9327
160.7 IPS |
