ASUS System Product Name
Geekbench AI Score
44385
Single Precision Score
74711
Half Precision Score
32905
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | May 30 2025 03:14 PM |
| Views | 8 |
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 GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
17308
3.22 KIPS |
|
|
Image Classification (HP)
|
100% |
25406
4.72 KIPS |
|
|
Image Classification (Q)
|
100% |
15068
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34645
561.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
51106
828.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
30687
499.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
277097
323.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
856618
999.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
236581
277.1 IPS |
|
|
Object Detection (SP)
|
100% |
23295
1.85 KIPS |
|
|
Object Detection (HP)
|
100% |
35347
2.80 KIPS |
|
|
Object Detection (Q)
|
86% |
19607
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
69552
826.4 IPS |
|
|
Face Detection (HP)
|
100% |
103177
1.23 KIPS |
|
|
Face Detection (Q)
|
97% |
55185
658.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
105969
816.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
200388
1.54 KIPS |
|
|
Depth Estimation (Q)
|
78% |
76722
612.7 IPS |
|
|
Style Transfer (SP)
|
100% |
411515
529.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1330037
1.71 KIPS |
|
|
Style Transfer (Q)
|
98% |
355656
458.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66723
2.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102644
3.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49635
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2702
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
8609
148.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8748
150.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3436
64.4 IPS |
