ASUS System Product Name
Geekbench AI Score
6167
Single Precision Score
1408
Half Precision Score
9414
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Dragon69 |
| Upload Date | November 14 2025 10:14 PM |
| 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 APEX |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2587
481.1 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
99% |
6755
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
5115
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22591
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15257
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
76915
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
3439
272.8 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
88% |
3336
267.4 IPS |
|
|
Face Detection (SP)
|
100% |
5316
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (Q)
|
97% |
9619
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14966
115.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1537
11.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
20793
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42197
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33519
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
59309
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4436
163.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6366
235.7 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
60% |
4035
90.0 IPS |
