ASUS System Product Name
Geekbench AI Score
41379
Single Precision Score
68078
Half Precision Score
31436
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 5hGaBHE7 |
| Upload Date | August 03 2025 03:25 PM |
| Views | 16 |
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% |
16136
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
24133
4.49 KIPS |
|
|
Image Classification (Q)
|
100% |
14489
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29842
483.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
40580
657.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
26565
432.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
273843
319.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
848409
990.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
231576
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
21336
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
31501
2.50 KIPS |
|
|
Object Detection (Q)
|
86% |
18279
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
63658
756.4 IPS |
|
|
Face Detection (HP)
|
100% |
91060
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
51642
615.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
104006
801.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
192783
1.49 KIPS |
|
|
Depth Estimation (Q)
|
78% |
76859
613.8 IPS |
|
|
Style Transfer (SP)
|
100% |
403470
518.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1264897
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
346873
447.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62594
2.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93742
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47130
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
4375
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5353
7.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2729
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
7151
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7333
126.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3267
61.3 IPS |
