ASUS System Product Name
Geekbench AI Score
28546
Single Precision Score
49191
Half Precision Score
21928
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | March 06 2025 08:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 | Rovnovha |
| 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% |
11350
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
18773
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10013
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19318
313.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27684
448.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18415
299.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
169786
198.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
481513
561.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
144575
169.6 IPS |
|
|
Object Detection (SP)
|
100% |
15536
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
26062
2.07 KIPS |
|
|
Object Detection (Q)
|
89% |
13326
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
37649
447.4 IPS |
|
|
Face Detection (HP)
|
100% |
55545
660.0 IPS |
|
|
Face Detection (Q)
|
97% |
30798
367.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
71968
554.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
127736
984.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
55271
447.3 IPS |
|
|
Style Transfer (SP)
|
100% |
240086
308.6 IPS |
|
|
Style Transfer (HP)
|
100% |
830086
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
207432
267.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44476
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80671
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35207
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2435
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5479
94.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5579
96.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2391
53.3 IPS |
