ASUS System Product Name
Geekbench AI Score
30297
Single Precision Score
42625
Half Precision Score
22429
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:39 AM |
| Views | 3 |
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. PRIME X670E-PRO WIFI |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10617
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
14036
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
8884
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21959
356.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30651
496.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20108
327.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
243283
283.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
445805
520.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
209627
245.6 IPS |
|
|
Object Detection (SP)
|
100% |
14815
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
20189
1.60 KIPS |
|
|
Object Detection (Q)
|
86% |
12158
976.8 IPS |
|
|
Face Detection (SP)
|
100% |
46059
547.3 IPS |
|
|
Face Detection (HP)
|
100% |
59437
706.2 IPS |
|
|
Face Detection (Q)
|
97% |
37724
449.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75600
582.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
125472
966.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
55918
447.2 IPS |
|
|
Style Transfer (SP)
|
100% |
447261
575.0 IPS |
|
|
Style Transfer (HP)
|
100% |
880394
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
371724
479.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46512
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60510
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32989
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
2992
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1516
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1805
33.8 IPS |
