MSX ASUS System Product Name
Geekbench AI Score
33592
Single Precision Score
57552
Half Precision Score
25546
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | saulmaz |
| Upload Date | April 16 2025 07:03 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI |
| Power Plan | Paskirstytas |
| 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% |
14054
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
21402
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12441
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24982
405.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36604
593.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22733
369.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
176113
205.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
684920
799.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
157622
184.6 IPS |
|
|
Object Detection (SP)
|
100% |
17933
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
29258
2.32 KIPS |
|
|
Object Detection (Q)
|
86% |
15035
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
52419
622.9 IPS |
|
|
Face Detection (HP)
|
100% |
75511
897.2 IPS |
|
|
Face Detection (Q)
|
97% |
42956
512.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87887
677.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
140256
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62374
498.1 IPS |
|
|
Style Transfer (SP)
|
100% |
303053
389.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1003585
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
258629
333.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48342
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78152
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37024
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4522
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2279
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6643
114.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6761
116.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3021
56.7 IPS |
