ASUS System Product Name
Geekbench AI Score
5839
Single Precision Score
2534
Half Precision Score
11838
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 14 2025 08:39 AM |
| Views | 7 |
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% |
4702
874.4 IPS |
|
|
Image Classification (HP)
|
100% |
882
164.1 IPS |
|
|
Image Classification (Q)
|
99% |
11539
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13374
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10285
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8483
9.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
39166
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
4461
353.8 IPS |
|
|
Object Detection (HP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (Q)
|
86% |
11629
934.6 IPS |
|
|
Face Detection (SP)
|
100% |
8842
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
13174
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12318
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3362
25.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
26272
209.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24057
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18586
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29044
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3401
125.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7208
266.9 IPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2071
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5128
103.0 IPS |
