ASUS System Product Name
Geekbench AI Score
45417
Single Precision Score
64995
Half Precision Score
33726
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dennis_dydx |
| Upload Date | June 21 2025 03:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18338
3.41 KIPS |
|
|
Image Classification (HP)
|
100% |
22842
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
15270
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26126
423.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30287
491.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
23982
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
415924
485.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
905089
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
331458
388.3 IPS |
|
|
Object Detection (SP)
|
100% |
22735
1.80 KIPS |
|
|
Object Detection (HP)
|
100% |
28818
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
19252
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
57215
679.8 IPS |
|
|
Face Detection (HP)
|
100% |
71489
849.4 IPS |
|
|
Face Detection (Q)
|
97% |
48068
573.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
113380
873.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
197711
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80809
647.2 IPS |
|
|
Style Transfer (SP)
|
100% |
621692
799.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1628085
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
525204
677.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77718
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99285
3.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55782
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4707
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2657
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2695
50.5 IPS |
