ASUS System Product Name
Geekbench AI Score
43749
Single Precision Score
62714
Half Precision Score
32998
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 05 2025 09:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16572
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
20849
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
14557
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26910
436.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31108
504.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24830
403.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
382726
446.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
876057
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
309385
362.4 IPS |
|
|
Object Detection (SP)
|
100% |
22075
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
27739
2.20 KIPS |
|
|
Object Detection (Q)
|
85% |
18643
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
57801
686.8 IPS |
|
|
Face Detection (HP)
|
100% |
71785
853.0 IPS |
|
|
Face Detection (Q)
|
97% |
49020
584.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
108356
834.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
189350
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78392
627.9 IPS |
|
|
Style Transfer (SP)
|
100% |
618509
795.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1601504
2.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
516041
665.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73986
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96005
3.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53592
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5020
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2488
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5719
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5692
98.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2777
52.1 IPS |
