ASUS System Product Name
Geekbench AI Score
33096
Single Precision Score
47305
Half Precision Score
26097
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Soulknife |
| Upload Date | March 06 2025 10:31 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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 | High performance |
| 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 | 5.70 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13052
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
17941
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
11519
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22145
359.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17307
281.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
263817
307.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
496823
579.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
233671
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
16173
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
22277
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
14080
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
43395
515.6 IPS |
|
|
Face Detection (HP)
|
100% |
54419
646.6 IPS |
|
|
Face Detection (Q)
|
97% |
37819
451.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84139
648.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
154017
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64639
516.2 IPS |
|
|
Style Transfer (SP)
|
100% |
394885
507.6 IPS |
|
|
Style Transfer (HP)
|
100% |
857529
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
346514
446.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57191
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77231
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44142
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2375
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4749
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2516
47.2 IPS |
