ASUS ROG Crosshair X870E Hero ASUS System Product Name
Geekbench AI Score
248
Single Precision Score
248
Half Precision Score
188
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | enroscado |
| Upload Date | December 02 2025 07:29 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
97% |
122
22.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
156
2.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
234
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
234
0.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
199
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
117
9.38 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (Q)
|
97% |
369
4.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
336
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
334
2.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
233
2.15 IPS |
|
|
Style Transfer (SP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
597
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.60 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.4 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.1 IPS |
|
|
Text Classification (Q)
|
91% |
133
179.1 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (Q)
|
58% |
149
3.56 IPS |
