ASUS System Product Name
Geekbench AI Score
24280
Single Precision Score
37280
Half Precision Score
14692
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 09:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9919
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
13977
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
6586
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15680
254.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22159
359.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11566
188.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
138087
161.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
394973
460.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106013
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
12408
984.2 IPS |
|
|
Object Detection (HP)
|
100% |
17819
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
8366
673.0 IPS |
|
|
Face Detection (SP)
|
100% |
31229
371.1 IPS |
|
|
Face Detection (HP)
|
100% |
45426
539.8 IPS |
|
|
Face Detection (Q)
|
97% |
21202
252.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62812
483.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104902
808.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
37084
297.1 IPS |
|
|
Style Transfer (SP)
|
100% |
254837
327.6 IPS |
|
|
Style Transfer (HP)
|
100% |
594642
764.4 IPS |
|
|
Style Transfer (Q)
|
98% |
181555
234.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38330
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47884
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20628
763.8 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1507
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1564
29.3 IPS |
