ASUS System Product Name
Geekbench AI Score
35337
Single Precision Score
49362
Half Precision Score
27189
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 05:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12558
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
16648
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10971
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22130
358.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27662
448.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21230
345.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
306007
357.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
529911
618.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
276494
323.8 IPS |
|
|
Object Detection (SP)
|
100% |
17508
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
23317
1.85 KIPS |
|
|
Object Detection (Q)
|
89% |
14430
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
47983
570.1 IPS |
|
|
Face Detection (HP)
|
100% |
57929
688.3 IPS |
|
|
Face Detection (Q)
|
97% |
41046
489.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
87050
670.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
152030
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66339
535.1 IPS |
|
|
Style Transfer (SP)
|
100% |
542264
697.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1082083
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
481270
620.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55074
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78757
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43123
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4026
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4996
86.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2058
45.9 IPS |
