ASUS System Product Name
Geekbench AI Score
24809
Single Precision Score
38927
Half Precision Score
14747
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | loay |
| Upload Date | June 30 2025 11:23 AM |
| Views | 7 |
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. TUF GAMING X870-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9905
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
14479
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6558
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17831
289.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26862
435.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12633
205.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
133890
156.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
390547
455.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
105925
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
12553
995.7 IPS |
|
|
Object Detection (HP)
|
100% |
18821
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
8392
675.1 IPS |
|
|
Face Detection (SP)
|
100% |
33995
403.9 IPS |
|
|
Face Detection (HP)
|
100% |
50085
595.1 IPS |
|
|
Face Detection (Q)
|
97% |
22392
267.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
61395
473.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103152
794.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36289
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
247276
317.9 IPS |
|
|
Style Transfer (HP)
|
100% |
593422
762.9 IPS |
|
|
Style Transfer (Q)
|
98% |
178254
229.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37265
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46742
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19809
733.5 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5039
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4944
85.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1604
30.1 IPS |
