ASUS System Product Name
Geekbench AI Score
39684
Single Precision Score
63342
Half Precision Score
29861
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 01:30 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 |
| 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% |
15139
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
21039
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
13399
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28616
463.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
38509
624.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
25523
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
267059
311.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
821105
958.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
225761
264.4 IPS |
|
|
Object Detection (SP)
|
100% |
20012
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
28762
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
17423
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
58039
689.6 IPS |
|
|
Face Detection (HP)
|
100% |
80337
954.6 IPS |
|
|
Face Detection (Q)
|
97% |
47225
563.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
101623
782.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
181670
1.40 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73953
590.6 IPS |
|
|
Style Transfer (SP)
|
100% |
395793
508.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1184936
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
341277
440.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59139
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85526
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45048
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
4279
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2558
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
7083
122.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7063
121.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3052
57.2 IPS |
