ASUS System Product Name
Geekbench AI Score
13833
Single Precision Score
13943
Half Precision Score
33413
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 10:34 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 Famille (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P |
| Power Plan | Utilisation normale |
| 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% |
8058
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8627
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
20522
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9354
151.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9267
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24558
398.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16667
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16873
19.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
65893
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
8642
685.5 IPS |
|
|
Object Detection (HP)
|
100% |
8711
691.0 IPS |
|
|
Object Detection (Q)
|
88% |
22058
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
27612
328.1 IPS |
|
|
Face Detection (HP)
|
100% |
27487
326.6 IPS |
|
|
Face Detection (Q)
|
100% |
56270
668.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22077
170.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21859
168.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
61255
476.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48424
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47498
61.1 IPS |
|
|
Style Transfer (Q)
|
98% |
171299
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10616
392.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10736
396.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31797
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
6448
8.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
8903
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11702
201.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11933
205.5 IPS |
|
|
Machine Translation (Q)
|
100% |
14170
244.1 IPS |
