ASUS System Product Name
Geekbench AI Score
45819
Single Precision Score
67170
Half Precision Score
33655
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 27 2025 11:31 PM |
| Views | 3 |
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% |
16660
3.10 KIPS |
|
|
Image Classification (HP)
|
100% |
20991
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
14153
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35834
580.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
44898
727.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
32474
528.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
391842
457.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
879175
1.03 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314956
368.9 IPS |
|
|
Object Detection (SP)
|
100% |
22120
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
28447
2.26 KIPS |
|
|
Object Detection (Q)
|
85% |
18394
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
66569
791.0 IPS |
|
|
Face Detection (HP)
|
100% |
84661
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52475
625.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
102327
788.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
187675
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72967
584.4 IPS |
|
|
Style Transfer (SP)
|
100% |
579238
744.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1624243
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
488035
629.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72160
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92706
3.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51346
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6987
120.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6856
118.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3047
57.2 IPS |
