ASUS System Product Name
Geekbench AI Score
43436
Single Precision Score
63000
Half Precision Score
32443
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 26 2025 10:14 PM |
| Views | 17 |
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% |
15938
2.96 KIPS |
|
|
Image Classification (HP)
|
100% |
20277
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
13655
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31249
506.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
38043
616.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
28708
466.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
381935
445.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
843989
984.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
310073
363.2 IPS |
|
|
Object Detection (SP)
|
100% |
21061
1.67 KIPS |
|
|
Object Detection (HP)
|
100% |
26650
2.11 KIPS |
|
|
Object Detection (Q)
|
85% |
17645
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
59406
705.9 IPS |
|
|
Face Detection (HP)
|
100% |
75620
898.5 IPS |
|
|
Face Detection (Q)
|
97% |
49424
589.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
101583
782.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
180257
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72431
580.1 IPS |
|
|
Style Transfer (SP)
|
100% |
568610
731.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1541706
1.98 KIPS |
|
|
Style Transfer (Q)
|
98% |
478280
616.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69306
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88781
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50797
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6348
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2937
55.1 IPS |
