ASUS System Product Name
Geekbench AI Score
41647
Single Precision Score
68107
Half Precision Score
31361
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 05:39 PM |
| Views | 8 |
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(R) Core(TM) 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% |
16901
3.14 KIPS |
|
|
Image Classification (HP)
|
100% |
24775
4.61 KIPS |
|
|
Image Classification (Q)
|
100% |
14555
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29806
483.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
41173
667.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26555
431.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
270892
316.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
820924
957.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
232265
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
21482
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
32051
2.54 KIPS |
|
|
Object Detection (Q)
|
86% |
18241
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
64164
762.4 IPS |
|
|
Face Detection (HP)
|
100% |
92490
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
51928
619.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
103923
800.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
181853
1.40 KIPS |
|
|
Depth Estimation (Q)
|
78% |
75715
604.6 IPS |
|
|
Style Transfer (SP)
|
100% |
399549
513.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1266049
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
345633
445.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62287
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94104
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47082
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2714
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
7346
126.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7346
126.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3237
60.7 IPS |
