ASUS System Product Name
Geekbench AI Score
36079
Single Precision Score
62015
Half Precision Score
27742
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Reupen |
| Upload Date | July 03 2025 04:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14717
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
21787
4.05 KIPS |
|
|
Image Classification (Q)
|
100% |
13127
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27747
449.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
40394
654.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25132
408.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
241427
281.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
727274
848.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
205564
240.8 IPS |
|
|
Object Detection (SP)
|
100% |
19419
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
28946
2.30 KIPS |
|
|
Object Detection (Q)
|
86% |
16550
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
54592
648.7 IPS |
|
|
Face Detection (HP)
|
100% |
79731
947.4 IPS |
|
|
Face Detection (Q)
|
97% |
45031
536.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
81542
628.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
171490
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58773
469.3 IPS |
|
|
Style Transfer (SP)
|
100% |
333036
428.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1140664
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
287071
370.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57984
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89025
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40977
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5061
6.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2538
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6122
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6463
111.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3045
57.1 IPS |
