ASUS System Product Name
Geekbench AI Score
8929
Single Precision Score
8932
Half Precision Score
19888
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650-PLUS |
| Power Plan | Ancels Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5232
972.9 IPS |
|
|
Image Classification (HP)
|
100% |
5174
962.1 IPS |
|
|
Image Classification (Q)
|
100% |
10892
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4952
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5012
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9853
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15634
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15882
18.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
63001
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
5428
430.6 IPS |
|
|
Object Detection (HP)
|
100% |
5604
444.5 IPS |
|
|
Object Detection (Q)
|
88% |
12364
991.1 IPS |
|
|
Face Detection (SP)
|
100% |
14197
168.7 IPS |
|
|
Face Detection (HP)
|
100% |
13739
163.2 IPS |
|
|
Face Detection (Q)
|
100% |
35221
418.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16279
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16471
126.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
40924
318.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41402
53.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40949
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
148542
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8125
300.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8120
299.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23584
873.4 IPS |
|
|
Text Classification (SP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4236
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5415
93.3 IPS |
