ASUS System Product Name
Geekbench AI Score
37642
Single Precision Score
51131
Half Precision Score
27926
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 10:44 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-A GAMING WIFI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13369
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
17655
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
11183
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23211
376.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
29075
471.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21638
351.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
323849
377.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
531482
620.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
279666
327.5 IPS |
|
|
Object Detection (SP)
|
100% |
18725
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24306
1.93 KIPS |
|
|
Object Detection (Q)
|
89% |
15939
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
50636
601.7 IPS |
|
|
Face Detection (HP)
|
100% |
61884
735.3 IPS |
|
|
Face Detection (Q)
|
97% |
42148
502.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92235
710.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
149748
1.15 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66982
540.7 IPS |
|
|
Style Transfer (SP)
|
100% |
569389
732.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1091175
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
485567
626.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59495
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79747
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43676
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4431
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5155
88.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2078
46.3 IPS |
