ASUS System Product Name
Geekbench AI Score
53861
Single Precision Score
81080
Half Precision Score
38938
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:15 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18948
3.52 KIPS |
|
|
Image Classification (HP)
|
100% |
24554
4.57 KIPS |
|
|
Image Classification (Q)
|
100% |
16326
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41926
679.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
55109
893.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
38513
626.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
442536
516.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
1059135
1.24 KIPS |
|
|
Pose Estimation (Q)
|
96% |
344729
403.8 IPS |
|
|
Object Detection (SP)
|
100% |
27802
2.21 KIPS |
|
|
Object Detection (HP)
|
100% |
37492
2.97 KIPS |
|
|
Object Detection (Q)
|
85% |
22548
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
84612
1.01 KIPS |
|
|
Face Detection (HP)
|
100% |
114685
1.36 KIPS |
|
|
Face Detection (Q)
|
97% |
65916
786.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
121114
933.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
208896
1.61 KIPS |
|
|
Depth Estimation (Q)
|
77% |
85572
685.4 IPS |
|
|
Style Transfer (SP)
|
100% |
687080
883.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1955945
2.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
572811
738.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83236
3.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110700
4.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58478
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4464
5.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2548
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
8036
138.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8184
141.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3406
63.9 IPS |
