ASUS System Product Name
Geekbench AI Score
35159
Single Precision Score
58565
Half Precision Score
26624
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 01:58 PM |
| Views | 5 |
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-E GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13956
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
20097
3.74 KIPS |
|
|
Image Classification (Q)
|
100% |
12203
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25768
417.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
36551
592.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23313
379.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
227683
265.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
678903
792.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
193544
226.7 IPS |
|
|
Object Detection (SP)
|
100% |
17731
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
26470
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
15310
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
50329
598.0 IPS |
|
|
Face Detection (HP)
|
100% |
71358
847.9 IPS |
|
|
Face Detection (Q)
|
97% |
41833
498.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
86471
666.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
170056
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63629
508.1 IPS |
|
|
Style Transfer (SP)
|
100% |
332366
427.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1087468
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
288148
371.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53254
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83169
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40143
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4898
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2374
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6642
114.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6690
115.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2905
54.5 IPS |
