ASUS System Product Name
Geekbench AI Score
39983
Single Precision Score
66366
Half Precision Score
29956
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 04:10 AM |
| Views | 2 |
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% |
16243
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
24000
4.46 KIPS |
|
|
Image Classification (Q)
|
100% |
14103
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27158
440.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
37755
612.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24993
406.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
254680
297.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
763724
891.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
217927
255.3 IPS |
|
|
Object Detection (SP)
|
100% |
21195
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
32683
2.59 KIPS |
|
|
Object Detection (Q)
|
86% |
17843
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
59617
708.4 IPS |
|
|
Face Detection (HP)
|
100% |
83638
993.8 IPS |
|
|
Face Detection (Q)
|
97% |
48265
575.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
97662
752.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
175823
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71009
567.0 IPS |
|
|
Style Transfer (SP)
|
100% |
384954
494.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1254271
1.61 KIPS |
|
|
Style Transfer (Q)
|
98% |
329607
425.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63058
2.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97332
3.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45792
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2633
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7050
121.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7160
123.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3118
58.5 IPS |
