Crosshair ASUS System Product Name ASUS System Product Name
Geekbench AI Score
5744
Single Precision Score
2063
Half Precision Score
9814
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | May 31 2025 08:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4235
787.6 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (Q)
|
99% |
11147
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4144
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16342
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11414
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
49234
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
4194
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
801
63.5 IPS |
|
|
Object Detection (Q)
|
86% |
11954
960.7 IPS |
|
|
Face Detection (SP)
|
100% |
7733
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
12784
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14139
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2904
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23268
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29113
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24578
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33346
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3331
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4771
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1745
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3692
74.2 IPS |
