ASUS ROG Crosshair X870E Hero ASUS System Product Name
Geekbench AI Score
7924
Single Precision Score
2797
Half Precision Score
13140
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 05:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| 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% |
5062
941.4 IPS |
|
|
Image Classification (HP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (Q)
|
99% |
12345
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5561
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26971
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16158
18.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
75566
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
5527
438.4 IPS |
|
|
Object Detection (HP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (Q)
|
86% |
14823
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
10488
124.6 IPS |
|
|
Face Detection (HP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
16155
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17916
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4108
31.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
28948
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47390
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36596
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
49653
64.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3538
130.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6379
236.2 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1989
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6774
136.1 IPS |
