3080 ASUS System Product Name
Geekbench AI Score
22222
Single Precision Score
33822
Half Precision Score
13715
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jacben13 |
| Upload Date | February 28 2025 04:43 AM |
| Views | 1 |
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. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9096
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
12821
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
6145
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13861
224.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19057
308.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10587
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
136509
159.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
364665
425.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
105864
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
11171
886.1 IPS |
|
|
Object Detection (HP)
|
100% |
16130
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
7676
617.5 IPS |
|
|
Face Detection (SP)
|
100% |
29137
346.2 IPS |
|
|
Face Detection (HP)
|
100% |
41187
489.4 IPS |
|
|
Face Detection (Q)
|
97% |
20018
238.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55692
429.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98354
757.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
33836
271.1 IPS |
|
|
Style Transfer (SP)
|
100% |
246170
316.5 IPS |
|
|
Style Transfer (HP)
|
100% |
570922
733.9 IPS |
|
|
Style Transfer (Q)
|
98% |
176484
227.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35235
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43553
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19425
719.3 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
3537
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1436
26.9 IPS |
