ASUS System Product Name
Geekbench AI Score
41092
Single Precision Score
57864
Half Precision Score
31032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 07:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14746
2.74 KIPS |
|
|
Image Classification (HP)
|
99% |
19625
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
12664
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28446
461.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36827
597.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25784
419.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
308011
359.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
604071
704.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
271589
318.2 IPS |
|
|
Object Detection (SP)
|
100% |
20408
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
26676
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
17123
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
60280
716.3 IPS |
|
|
Face Detection (HP)
|
100% |
77279
918.2 IPS |
|
|
Face Detection (Q)
|
97% |
50723
604.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
105644
813.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
170470
1.31 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76996
615.8 IPS |
|
|
Style Transfer (SP)
|
100% |
569301
731.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1169790
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
488300
629.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63683
2.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86034
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47272
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4342
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6355
109.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6277
108.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2768
51.9 IPS |
