ASUS System Product Name
Geekbench AI Score
40079
Single Precision Score
66916
Half Precision Score
30062
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 07:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16199
3.01 KIPS |
|
|
Image Classification (HP)
|
100% |
24718
4.60 KIPS |
|
|
Image Classification (Q)
|
100% |
14174
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27265
442.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
37602
609.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
25234
410.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
255057
297.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
769719
898.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
218355
255.8 IPS |
|
|
Object Detection (SP)
|
100% |
21374
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
31886
2.53 KIPS |
|
|
Object Detection (Q)
|
86% |
17973
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
59627
708.5 IPS |
|
|
Face Detection (HP)
|
100% |
84975
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
48544
578.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
98150
756.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
187251
1.44 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71130
568.0 IPS |
|
|
Style Transfer (SP)
|
100% |
385602
495.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1250058
1.61 KIPS |
|
|
Style Transfer (Q)
|
98% |
330845
426.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63458
2.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97806
3.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46012
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2622
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
7061
121.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7165
123.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3117
58.5 IPS |
