ASUS ROG Crosshair X870E Hero ASUS System Product Name
Geekbench AI Score
33675
Single Precision Score
49187
Half Precision Score
25923
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 05:03 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13014
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
18295
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11275
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20902
338.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26618
431.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19419
315.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
257209
300.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
480918
561.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
228063
267.2 IPS |
|
|
Object Detection (SP)
|
100% |
16452
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
23117
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
14084
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
46333
550.5 IPS |
|
|
Face Detection (HP)
|
100% |
60696
721.2 IPS |
|
|
Face Detection (Q)
|
97% |
39497
470.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77775
599.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
147910
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60098
479.9 IPS |
|
|
Style Transfer (SP)
|
100% |
389737
501.0 IPS |
|
|
Style Transfer (HP)
|
100% |
875598
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
339111
437.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54512
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73355
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40676
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4925
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2302
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5479
94.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5392
92.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2586
48.5 IPS |
