ASUS System Product Name
Geekbench AI Score
39310
Single Precision Score
54049
Half Precision Score
29413
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 06:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 APEX |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13236
2.46 KIPS |
|
|
Image Classification (HP)
|
99% |
17875
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
11364
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25949
420.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
32651
529.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23517
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
323937
378.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
569248
664.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
279426
327.4 IPS |
|
|
Object Detection (SP)
|
100% |
19437
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
24971
1.98 KIPS |
|
|
Object Detection (Q)
|
86% |
15969
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
55770
662.7 IPS |
|
|
Face Detection (HP)
|
100% |
70069
832.6 IPS |
|
|
Face Detection (Q)
|
97% |
46831
558.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
100711
775.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
160188
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72676
581.3 IPS |
|
|
Style Transfer (SP)
|
100% |
570056
732.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1093599
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
473208
610.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60831
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81209
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44473
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3607
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4517
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5696
98.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2632
49.4 IPS |
