ASUS System Product Name
Geekbench AI Score
38427
Single Precision Score
65985
Half Precision Score
28387
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 06 2025 11:17 AM |
| Views | 12 |
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 STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14911
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
22189
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
12876
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28419
460.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
41594
674.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
25482
414.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
229862
268.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
721452
841.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
196761
230.5 IPS |
|
|
Object Detection (SP)
|
100% |
20615
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
33077
2.62 KIPS |
|
|
Object Detection (Q)
|
86% |
17369
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60154
714.8 IPS |
|
|
Face Detection (HP)
|
100% |
90497
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
48331
576.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90107
694.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
174512
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65701
524.7 IPS |
|
|
Style Transfer (SP)
|
100% |
343501
441.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1164380
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
297339
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57487
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91138
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41660
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2293
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
8661
149.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8785
151.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3360
63.0 IPS |
