ASUS System Product Name
Geekbench AI Score
12238
Single Precision Score
12375
Half Precision Score
29466
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 03 2024 10:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Dengeli |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8139
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
7962
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
18919
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7788
126.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7818
126.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14702
238.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17281
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17415
20.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
67720
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
6487
514.6 IPS |
|
|
Object Detection (HP)
|
100% |
6898
547.2 IPS |
|
|
Object Detection (Q)
|
88% |
16673
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
16480
195.8 IPS |
|
|
Face Detection (HP)
|
100% |
17028
202.3 IPS |
|
|
Face Detection (Q)
|
100% |
44785
532.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19601
151.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19835
152.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
59422
462.4 IPS |
|
|
Style Transfer (SP)
|
100% |
47752
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
47962
61.7 IPS |
|
|
Style Transfer (Q)
|
98% |
176227
227.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10921
403.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10937
403.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32760
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6887
9.19 KIPS |
|
|
Text Classification (HP)
|
100% |
6913
9.23 KIPS |
|
|
Text Classification (Q)
|
92% |
9314
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
9147
157.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9203
158.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10981
189.2 IPS |
