ASUS System Product Name
Geekbench AI Score
8003
Single Precision Score
2717
Half Precision Score
12556
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 31 2025 05:44 AM |
| Views | 2 |
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% |
7014
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (Q)
|
99% |
13331
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5053
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11571
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9156
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
47428
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6951
551.3 IPS |
|
|
Object Detection (HP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (Q)
|
86% |
14769
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
16001
190.1 IPS |
|
|
Face Detection (HP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
15375
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15444
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3935
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
35513
283.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28509
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19264
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35304
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4420
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3706
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6709
248.4 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1290
1.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2419
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
6601
132.6 IPS |
