ASUS System Product Name
Geekbench AI Score
13040
Single Precision Score
12946
Half Precision Score
32054
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 18 2025 04:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | Balanced |
| 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% |
8188
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8074
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
19953
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9076
147.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8884
144.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23855
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15076
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15051
17.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
62263
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
8338
661.3 IPS |
|
|
Object Detection (HP)
|
100% |
8188
649.5 IPS |
|
|
Object Detection (Q)
|
88% |
21131
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
26019
309.2 IPS |
|
|
Face Detection (HP)
|
100% |
26009
309.0 IPS |
|
|
Face Detection (Q)
|
100% |
53105
631.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19989
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19901
153.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
58328
453.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43490
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41984
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
159905
206.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9831
363.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10085
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30599
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
6346
8.47 KIPS |
|
|
Text Classification (HP)
|
100% |
6254
8.35 KIPS |
|
|
Text Classification (Q)
|
92% |
8902
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
10787
185.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10922
188.1 IPS |
|
|
Machine Translation (Q)
|
100% |
13555
233.5 IPS |
