ASUS System Product Name
Geekbench AI Score
13760
Single Precision Score
13757
Half Precision Score
32744
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 10:50 PM |
| Views | 3 |
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 B650M-PLUS WIFI |
| Power Plan | High 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% |
8283
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8282
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
20114
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9452
153.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9287
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24643
399.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16820
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16812
19.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
67306
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
8665
687.3 IPS |
|
|
Object Detection (HP)
|
100% |
8588
681.2 IPS |
|
|
Object Detection (Q)
|
88% |
21371
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
26678
317.0 IPS |
|
|
Face Detection (HP)
|
100% |
26718
317.5 IPS |
|
|
Face Detection (Q)
|
100% |
54434
646.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22143
170.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22122
170.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
60041
467.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47195
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47844
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
167481
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10381
383.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10543
389.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30368
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
6314
8.43 KIPS |
|
|
Text Classification (HP)
|
100% |
6485
8.66 KIPS |
|
|
Text Classification (Q)
|
92% |
8912
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11672
201.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11314
194.9 IPS |
|
|
Machine Translation (Q)
|
100% |
13416
231.1 IPS |
