ASUS System Product Name
Geekbench AI Score
45564
Single Precision Score
64832
Half Precision Score
34032
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lautajo |
| Upload Date | March 13 2026 10:32 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17203
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
21483
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
14779
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29051
470.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34463
558.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27488
447.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
405930
473.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
949449
1.11 KIPS |
|
|
Pose Estimation (Q)
|
94% |
332588
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
23046
1.83 KIPS |
|
|
Object Detection (HP)
|
100% |
28684
2.28 KIPS |
|
|
Object Detection (Q)
|
89% |
19933
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
60810
722.6 IPS |
|
|
Face Detection (HP)
|
100% |
74014
879.4 IPS |
|
|
Face Detection (Q)
|
97% |
49174
586.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
118930
916.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
191133
1.47 KIPS |
|
|
Depth Estimation (Q)
|
74% |
84391
687.7 IPS |
|
|
Style Transfer (SP)
|
100% |
618804
795.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1542593
1.98 KIPS |
|
|
Style Transfer (Q)
|
98% |
521004
671.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75367
2.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97048
3.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53580
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2637
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5942
102.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5884
101.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2533
56.5 IPS |
