ASUS System Product Name
Geekbench AI Score
49494
Single Precision Score
73007
Half Precision Score
36440
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 20 2025 10:35 PM |
| Views | 3 |
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% |
18205
3.39 KIPS |
|
|
Image Classification (HP)
|
100% |
22991
4.28 KIPS |
|
|
Image Classification (Q)
|
100% |
15543
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37900
614.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
47389
768.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
34357
558.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
410570
479.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
997126
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
337640
395.5 IPS |
|
|
Object Detection (SP)
|
100% |
24521
1.95 KIPS |
|
|
Object Detection (HP)
|
100% |
31334
2.49 KIPS |
|
|
Object Detection (Q)
|
85% |
20467
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
71039
844.1 IPS |
|
|
Face Detection (HP)
|
100% |
90357
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
56573
674.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
113424
873.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
202015
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80028
641.0 IPS |
|
|
Style Transfer (SP)
|
100% |
654208
841.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1793179
2.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
525913
678.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77228
2.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102207
3.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55765
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4341
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2610
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7187
123.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7439
128.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3229
60.6 IPS |
