ASUS System Product Name
Geekbench AI Score
41186
Single Precision Score
57675
Half Precision Score
31007
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | f180n4cc1 |
| Upload Date | December 16 2025 04:21 PM |
| Views | 10 |
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 STRIX X670E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14295
2.66 KIPS |
|
|
Image Classification (HP)
|
99% |
19031
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
12179
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26958
437.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
38033
616.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
26245
426.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
323497
377.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
594451
693.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
279726
327.7 IPS |
|
|
Object Detection (SP)
|
100% |
20708
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
26873
2.13 KIPS |
|
|
Object Detection (Q)
|
86% |
17201
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
61080
725.8 IPS |
|
|
Face Detection (HP)
|
100% |
78782
936.1 IPS |
|
|
Face Detection (Q)
|
97% |
50881
606.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
104146
802.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
166176
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74906
599.1 IPS |
|
|
Style Transfer (SP)
|
100% |
592207
761.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1156125
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
500489
645.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61523
2.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81355
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45765
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4384
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6575
113.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6525
112.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2841
53.3 IPS |
