ASUS ROG Crosshair X870E Hero ASUS System Product Name
Geekbench AI Score
13205
Single Precision Score
13418
Half Precision Score
32947
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 05:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6807
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6470
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
17151
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8945
145.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9071
147.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25782
417.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27406
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
27999
32.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
114239
133.7 IPS |
|
|
Object Detection (SP)
|
100% |
8002
634.8 IPS |
|
|
Object Detection (HP)
|
100% |
8069
640.0 IPS |
|
|
Object Detection (Q)
|
88% |
20685
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
15208
180.7 IPS |
|
|
Face Detection (HP)
|
100% |
18583
220.8 IPS |
|
|
Face Detection (Q)
|
100% |
47181
560.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21641
166.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21166
163.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
64333
500.7 IPS |
|
|
Style Transfer (SP)
|
100% |
73310
94.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74119
95.3 IPS |
|
|
Style Transfer (Q)
|
98% |
262376
338.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13476
497.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13503
498.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38015
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
92% |
5647
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
7899
136.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7715
132.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8439
145.4 IPS |
