ASUS System Product Name
Geekbench AI Score
36367
Single Precision Score
60426
Half Precision Score
27957
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 29 2025 06:11 AM |
| Views | 14 |
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 X870-A GAMING WIFI |
| 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% |
14806
2.75 KIPS |
|
|
Image Classification (HP)
|
100% |
21465
3.99 KIPS |
|
|
Image Classification (Q)
|
100% |
12968
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23799
385.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32625
528.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22513
366.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
236631
276.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
696832
813.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
199463
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
20320
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
30996
2.46 KIPS |
|
|
Object Detection (Q)
|
86% |
17433
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
54072
642.5 IPS |
|
|
Face Detection (HP)
|
100% |
78280
930.1 IPS |
|
|
Face Detection (Q)
|
97% |
44972
536.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
94104
725.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
175170
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69557
555.4 IPS |
|
|
Style Transfer (SP)
|
100% |
343172
441.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1175766
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
300515
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57396
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88093
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43700
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2404
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6139
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2910
54.6 IPS |
