ASUS ROG Crosshair X870E Hero ASUS System Product Name
Geekbench AI Score
3395
Single Precision Score
3389
Half Precision Score
2954
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 04:42 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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 | 5.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2331
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (Q)
|
99% |
2159
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3729
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3715
60.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1938
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4989
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4958
5.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
7498
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
85% |
2559
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (Q)
|
97% |
4504
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3722
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3802
29.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3707
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4939
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4942
6.35 IPS |
|
|
Style Transfer (Q)
|
98% |
10807
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3085
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4341
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (Q)
|
58% |
999
23.5 IPS |
