ASUS ROG Crosshair X870E Hero ASUS System Product Name
Geekbench AI Score
6173
Single Precision Score
1284
Half Precision Score
12442
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 04:46 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2454
456.3 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
97% |
10819
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
4639
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24280
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11812
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
72604
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
2986
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
86% |
13675
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
20685
246.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12664
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1398
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25653
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42771
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30519
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44614
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6013
222.7 IPS |
|
|
Text Classification (SP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5514
110.8 IPS |
