AMD Ryzen 7 3800X in Asus TUF Gaming X570 + GF RTX 3060 12GB + GF GTX 1660 6GB + 64GB RAM System manufacturer System Product Name
Geekbench AI Score
3165
Single Precision Score
3034
Half Precision Score
3558
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | electric0xyg3n |
| Upload Date | January 11 2026 06:27 AM |
| Views | 3 |
| Notes | AMD Ryzen 7 3800X with the OpenVINO test |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1889
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (Q)
|
100% |
2090
388.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3256
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4794
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
6433
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (Q)
|
87% |
2794
224.1 IPS |
|
|
Face Detection (SP)
|
100% |
4977
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
3888
46.2 IPS |
|
|
Face Detection (Q)
|
97% |
6934
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4654
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4539
35.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
5468
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11872
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11330
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18424
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2818
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (Q)
|
91% |
537
721.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2518
43.4 IPS |
