ASUS System Product Name
Geekbench AI Score
36542
Single Precision Score
60986
Half Precision Score
27723
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 11:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14185
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
21336
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
12462
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27647
448.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
38614
626.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24783
403.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
239356
279.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
738130
861.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
203851
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
18209
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
28161
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
15917
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
54172
643.7 IPS |
|
|
Face Detection (HP)
|
100% |
77180
917.1 IPS |
|
|
Face Detection (Q)
|
97% |
44392
529.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
88663
683.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
170423
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66743
533.0 IPS |
|
|
Style Transfer (SP)
|
100% |
345417
444.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1107818
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
299185
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54042
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82375
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41738
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6932
119.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6817
117.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3021
56.7 IPS |
