ASUS System Product Name
Geekbench AI Score
36229
Single Precision Score
58388
Half Precision Score
27481
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 30 2025 02:48 PM |
| Views | 2 |
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 | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14936
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
21064
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12542
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23048
373.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30741
498.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22037
358.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
243818
284.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
713743
832.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
206482
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
19877
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
28967
2.30 KIPS |
|
|
Object Detection (Q)
|
89% |
17421
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
51142
607.7 IPS |
|
|
Face Detection (HP)
|
100% |
68017
808.2 IPS |
|
|
Face Detection (Q)
|
97% |
41839
498.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
95360
734.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
171004
1.32 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69851
563.5 IPS |
|
|
Style Transfer (SP)
|
100% |
354769
456.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1140196
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
310674
400.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58766
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87733
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44419
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5249
7.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2538
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5719
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5633
97.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2414
53.8 IPS |
