ASUS System Product Name
Geekbench AI Score
36332
Single Precision Score
48932
Half Precision Score
27799
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SoulRipper |
| Upload Date | March 15 2025 05:39 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13029
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
16972
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
11292
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21864
354.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26422
428.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19860
322.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
313249
365.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
531924
620.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
270794
317.3 IPS |
|
|
Object Detection (SP)
|
100% |
17658
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
22306
1.77 KIPS |
|
|
Object Detection (Q)
|
86% |
14947
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
47785
567.8 IPS |
|
|
Face Detection (HP)
|
100% |
59178
703.2 IPS |
|
|
Face Detection (Q)
|
97% |
41722
497.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
93273
718.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
155978
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68863
550.8 IPS |
|
|
Style Transfer (SP)
|
100% |
559125
718.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1035955
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
476125
613.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57550
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74714
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42542
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5048
87.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2504
47.0 IPS |
