ASUS System Product Name
Geekbench AI Score
15206
Single Precision Score
15455
Half Precision Score
33558
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7332
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7056
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
16361
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9591
155.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10082
163.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19723
319.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34255
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34460
40.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
136743
160.1 IPS |
|
|
Object Detection (SP)
|
100% |
8581
680.7 IPS |
|
|
Object Detection (HP)
|
100% |
9150
725.8 IPS |
|
|
Object Detection (Q)
|
88% |
18232
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
20097
238.8 IPS |
|
|
Face Detection (HP)
|
100% |
20662
245.5 IPS |
|
|
Face Detection (Q)
|
100% |
50920
605.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26162
201.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28339
218.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
70362
547.5 IPS |
|
|
Style Transfer (SP)
|
100% |
90361
116.2 IPS |
|
|
Style Transfer (HP)
|
100% |
89097
114.5 IPS |
|
|
Style Transfer (Q)
|
98% |
313192
403.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15668
578.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16065
593.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41077
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5660
7.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
92% |
6858
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7592
130.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7564
130.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7123
122.7 IPS |
