ASUS System Product Name
Geekbench AI Score
45951
Single Precision Score
67590
Half Precision Score
33637
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 27 2025 11:24 PM |
| Views | 4 |
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% |
16552
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
21090
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
13978
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35922
582.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
44748
725.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
32101
522.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
391700
457.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
895996
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315479
369.5 IPS |
|
|
Object Detection (SP)
|
100% |
22235
1.76 KIPS |
|
|
Object Detection (HP)
|
100% |
28795
2.28 KIPS |
|
|
Object Detection (Q)
|
85% |
18574
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
66865
794.5 IPS |
|
|
Face Detection (HP)
|
100% |
86326
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
54003
644.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
105084
809.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
185180
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72965
584.4 IPS |
|
|
Style Transfer (SP)
|
100% |
579838
745.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1630781
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
489430
631.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72010
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92847
3.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51543
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
7012
120.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7000
120.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3051
57.2 IPS |
