ASUS System Product Name
Geekbench AI Score
38741
Single Precision Score
66490
Half Precision Score
28951
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | arefuiryentwrbe |
| Upload Date | September 04 2025 05:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15044
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22233
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
13170
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29254
474.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
43389
703.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26671
433.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
235937
275.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
765244
892.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
200011
234.3 IPS |
|
|
Object Detection (SP)
|
100% |
20651
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
33355
2.65 KIPS |
|
|
Object Detection (Q)
|
86% |
17621
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
59502
707.0 IPS |
|
|
Face Detection (HP)
|
100% |
88189
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
47874
570.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
91566
705.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
176466
1.36 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67551
539.4 IPS |
|
|
Style Transfer (SP)
|
100% |
353390
454.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1196344
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
303547
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58773
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92660
3.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43739
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2449
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
7581
130.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7643
131.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3178
59.6 IPS |
