ASUS System Product Name
Geekbench AI Score
7059
Single Precision Score
2989
Half Precision Score
9498
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | November 04 2024 08:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4435
824.8 IPS |
|
|
Image Classification (HP)
|
100% |
989
183.9 IPS |
|
|
Image Classification (Q)
|
99% |
7926
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4862
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15075
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12429
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
54313
63.7 IPS |
|
|
Object Detection (SP)
|
100% |
5099
404.5 IPS |
|
|
Object Detection (HP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (Q)
|
88% |
4682
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
6556
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
8101
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15538
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4127
31.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
16797
134.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35928
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27134
34.9 IPS |
|
|
Style Transfer (Q)
|
98% |
44873
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6760
249.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7653
283.4 IPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2843
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
60% |
4591
102.4 IPS |
