ASUS System Product Name
Geekbench AI Score
10143
Single Precision Score
10133
Half Precision Score
23689
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 13 2025 05:51 AM |
| Views | 10 |
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% |
6273
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6350
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
14709
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7084
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7012
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17248
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12343
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11980
14.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
47991
56.2 IPS |
|
|
Object Detection (SP)
|
100% |
6336
502.6 IPS |
|
|
Object Detection (HP)
|
100% |
6280
498.1 IPS |
|
|
Object Detection (Q)
|
88% |
15501
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
18775
223.1 IPS |
|
|
Face Detection (HP)
|
100% |
19101
227.0 IPS |
|
|
Face Detection (Q)
|
100% |
38232
454.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15920
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15789
121.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
42356
329.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34612
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33652
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
115111
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7726
285.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7794
287.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21945
812.7 IPS |
|
|
Text Classification (SP)
|
100% |
5037
6.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5146
6.87 KIPS |
|
|
Text Classification (Q)
|
92% |
7603
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
8238
141.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8372
144.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9482
163.3 IPS |
