ASUS System Product Name
Geekbench AI Score
35574
Single Precision Score
60157
Half Precision Score
26777
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 02:03 AM |
| Views | 3 |
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. PRIME Z890-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13945
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
21163
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
12032
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27124
439.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
38365
621.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23910
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
225766
263.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
684193
798.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
190987
223.7 IPS |
|
|
Object Detection (SP)
|
100% |
18409
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
27493
2.18 KIPS |
|
|
Object Detection (Q)
|
86% |
15756
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
53983
641.4 IPS |
|
|
Face Detection (HP)
|
100% |
79368
943.1 IPS |
|
|
Face Detection (Q)
|
97% |
44236
527.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
86842
669.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
172096
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62794
501.4 IPS |
|
|
Style Transfer (SP)
|
100% |
333536
428.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1101231
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
292516
377.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53341
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81890
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40053
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4989
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6614
113.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2892
54.3 IPS |
