FormD T1 (2025) ASUS System Product Name
Geekbench AI Score
35290
Single Precision Score
57380
Half Precision Score
27290
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | WilliamTM |
| Upload Date | February 20 2025 05:11 PM |
| Views | 17 |
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 B850-I GAMING WIFI |
| Power Plan | Balanced |
| 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% |
14374
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
20409
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12528
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22579
366.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30374
492.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21679
352.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
237080
276.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
686006
800.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
199674
233.9 IPS |
|
|
Object Detection (SP)
|
100% |
19168
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
28564
2.27 KIPS |
|
|
Object Detection (Q)
|
86% |
16522
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
52902
628.6 IPS |
|
|
Face Detection (HP)
|
100% |
72445
860.8 IPS |
|
|
Face Detection (Q)
|
97% |
44140
526.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
92883
715.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
171938
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68883
550.1 IPS |
|
|
Style Transfer (SP)
|
100% |
341067
438.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1113495
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
299579
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54931
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82580
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41984
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2374
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5723
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5762
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2817
52.8 IPS |
