ASUS System Product Name
Geekbench AI Score
11021
Single Precision Score
11175
Half Precision Score
28198
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 03 2024 11:56 AM |
| Views | 5 |
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% |
7426
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7530
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
17506
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7185
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7185
116.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16195
262.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14249
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14503
16.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
58648
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
6783
538.0 IPS |
|
|
Object Detection (HP)
|
100% |
6867
544.7 IPS |
|
|
Object Detection (Q)
|
88% |
19339
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
15832
188.1 IPS |
|
|
Face Detection (HP)
|
100% |
16132
191.7 IPS |
|
|
Face Detection (Q)
|
100% |
47062
559.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17279
133.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17377
133.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
52010
404.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39306
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40356
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
148028
190.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8893
328.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8974
331.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28554
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
6248
8.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6367
8.50 KIPS |
|
|
Text Classification (Q)
|
92% |
9046
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
8585
147.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8721
150.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10562
181.9 IPS |
