ASUS System Product Name
Geekbench AI Score
33084
Single Precision Score
47266
Half Precision Score
26091
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Soulknife |
| Upload Date | March 06 2025 10:33 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13115
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
18027
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
11449
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18147
294.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22155
359.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17367
282.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
263973
308.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
498894
582.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
234178
274.4 IPS |
|
|
Object Detection (SP)
|
100% |
16194
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
22438
1.78 KIPS |
|
|
Object Detection (Q)
|
85% |
14125
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
43549
517.5 IPS |
|
|
Face Detection (HP)
|
100% |
54689
649.8 IPS |
|
|
Face Detection (Q)
|
97% |
37818
451.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84030
647.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
153821
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64578
515.7 IPS |
|
|
Style Transfer (SP)
|
100% |
396045
509.1 IPS |
|
|
Style Transfer (HP)
|
100% |
856029
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
349927
451.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56786
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76347
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43384
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4694
80.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2530
47.5 IPS |
