ASUS System Product Name
Geekbench AI Score
8083
Single Precision Score
2722
Half Precision Score
12537
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 31 2025 09:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7100
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
995
185.1 IPS |
|
|
Image Classification (Q)
|
99% |
14365
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4903
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11307
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9494
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
48338
56.7 IPS |
|
|
Object Detection (SP)
|
100% |
8112
643.5 IPS |
|
|
Object Detection (HP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (Q)
|
86% |
13612
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
16182
192.3 IPS |
|
|
Face Detection (HP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
15836
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16521
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3811
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
36381
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29335
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20612
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35614
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6725
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
3155
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6288
126.3 IPS |
