ASUS System Product Name
Geekbench AI Score
38266
Single Precision Score
52145
Half Precision Score
28778
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 10:31 AM |
| Views | 8 |
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 CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| 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% |
13716
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
17901
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11503
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23411
379.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28850
467.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22114
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
327409
382.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
554803
647.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
284374
333.0 IPS |
|
|
Object Detection (SP)
|
100% |
19370
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
25228
2.00 KIPS |
|
|
Object Detection (Q)
|
89% |
16533
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
51929
617.0 IPS |
|
|
Face Detection (HP)
|
100% |
64333
764.4 IPS |
|
|
Face Detection (Q)
|
97% |
43185
514.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
94864
730.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
160494
1.24 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69255
559.1 IPS |
|
|
Style Transfer (SP)
|
100% |
585309
752.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1097425
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
497958
642.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60445
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79726
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44656
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4357
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5314
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5225
90.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2238
49.9 IPS |
