ASUS System Product Name
Geekbench AI Score
8603
Single Precision Score
3166
Half Precision Score
14373
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 18 2025 05:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| 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% |
8229
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (Q)
|
99% |
13983
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17722
288.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14004
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10751
12.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
54672
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
7772
616.5 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
86% |
15094
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
19337
229.8 IPS |
|
|
Face Detection (HP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
15579
185.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20236
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4388
33.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
34074
271.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31319
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23176
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35511
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6931
256.6 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2462
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5386
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5723
115.0 IPS |
