ASUS System Product Name
Geekbench AI Score
43002
Single Precision Score
62499
Half Precision Score
31991
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | May 03 2025 02:21 AM |
| Views | 14 |
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% |
16086
2.99 KIPS |
|
|
Image Classification (HP)
|
100% |
20404
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
13637
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29760
482.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
36632
593.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
27846
452.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
382341
446.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
844704
985.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
302033
353.8 IPS |
|
|
Object Detection (SP)
|
100% |
20857
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26293
2.09 KIPS |
|
|
Object Detection (Q)
|
85% |
17397
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60145
714.7 IPS |
|
|
Face Detection (HP)
|
100% |
77413
919.8 IPS |
|
|
Face Detection (Q)
|
97% |
50284
599.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
100869
777.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
179011
1.38 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72799
583.1 IPS |
|
|
Style Transfer (SP)
|
100% |
579462
744.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1576833
2.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
480508
619.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69951
2.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87241
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49411
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4572
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2291
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6078
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2826
53.0 IPS |
