ASUS System Product Name
Geekbench AI Score
43105
Single Precision Score
62483
Half Precision Score
32087
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | May 03 2025 02:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16135
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
20540
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
13446
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30203
489.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36231
587.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27525
447.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
383254
447.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
857235
1.00 KIPS |
|
|
Pose Estimation (Q)
|
96% |
309683
362.7 IPS |
|
|
Object Detection (SP)
|
100% |
20771
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26419
2.10 KIPS |
|
|
Object Detection (Q)
|
85% |
17465
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
60815
722.6 IPS |
|
|
Face Detection (HP)
|
100% |
77421
919.9 IPS |
|
|
Face Detection (Q)
|
97% |
50311
599.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
101375
781.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
183853
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72606
581.5 IPS |
|
|
Style Transfer (SP)
|
100% |
574659
738.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1533198
1.97 KIPS |
|
|
Style Transfer (Q)
|
98% |
480428
619.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70143
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89610
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50585
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6117
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6005
103.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2845
53.4 IPS |
