ASUS System Product Name
Geekbench AI Score
35890
Single Precision Score
57421
Half Precision Score
27835
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.45 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14574
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
20660
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
12888
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22813
369.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29731
482.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21288
346.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
244415
285.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
720766
841.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
209599
245.5 IPS |
|
|
Object Detection (SP)
|
100% |
18376
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
26265
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
16017
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
51275
609.3 IPS |
|
|
Face Detection (HP)
|
100% |
70174
833.8 IPS |
|
|
Face Detection (Q)
|
97% |
43139
514.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
92706
714.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
169432
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69768
557.1 IPS |
|
|
Style Transfer (SP)
|
100% |
358418
460.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1079680
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
311672
401.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57008
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85191
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43265
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4079
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2578
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5995
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2898
54.4 IPS |
