ASUS System Product Name
Geekbench AI Score
41459
Single Precision Score
67554
Half Precision Score
31451
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 01:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860-PLUS WIFI |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16744
3.11 KIPS |
|
|
Image Classification (HP)
|
100% |
24057
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
14518
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29745
482.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
40210
651.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
26448
430.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
273904
319.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
850387
992.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
234869
275.1 IPS |
|
|
Object Detection (SP)
|
100% |
21302
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
31389
2.49 KIPS |
|
|
Object Detection (Q)
|
86% |
18153
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
63840
758.6 IPS |
|
|
Face Detection (HP)
|
100% |
90822
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
52046
620.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
103831
800.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
189429
1.46 KIPS |
|
|
Depth Estimation (Q)
|
78% |
76930
614.3 IPS |
|
|
Style Transfer (SP)
|
100% |
401863
516.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1269334
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
348205
449.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62193
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92127
3.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46886
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4273
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5221
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2705
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
7294
125.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7298
125.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3272
61.4 IPS |
