ASUS System Product Name
Geekbench AI Score
45390
Single Precision Score
66485
Half Precision Score
33472
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | May 02 2025 07:14 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% |
16346
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
20722
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
14096
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35966
583.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
44775
725.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
32028
520.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
391727
457.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
883435
1.03 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313326
367.0 IPS |
|
|
Object Detection (SP)
|
100% |
22025
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
27708
2.20 KIPS |
|
|
Object Detection (Q)
|
85% |
18350
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
63963
760.0 IPS |
|
|
Face Detection (HP)
|
100% |
85001
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52793
629.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
102859
792.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
186928
1.44 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72959
584.4 IPS |
|
|
Style Transfer (SP)
|
100% |
575667
740.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1612727
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
488133
629.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71608
2.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91245
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51559
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4614
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2308
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6990
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6888
118.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3040
57.0 IPS |
