ASUS System Product Name
Geekbench AI Score
15233
Single Precision Score
15491
Half Precision Score
33318
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | October 27 2024 12:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
7186
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7546
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
15494
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9220
149.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10011
162.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19629
318.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35142
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35259
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
138089
161.7 IPS |
|
|
Object Detection (SP)
|
100% |
8727
692.2 IPS |
|
|
Object Detection (HP)
|
100% |
8907
706.5 IPS |
|
|
Object Detection (Q)
|
88% |
18897
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
20133
239.2 IPS |
|
|
Face Detection (HP)
|
100% |
20832
247.5 IPS |
|
|
Face Detection (Q)
|
100% |
49963
593.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27699
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25964
200.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
68033
529.4 IPS |
|
|
Style Transfer (SP)
|
100% |
90432
116.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90650
116.5 IPS |
|
|
Style Transfer (Q)
|
98% |
313182
403.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15417
569.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16124
595.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41815
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5607
7.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
92% |
6342
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
7598
130.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7717
132.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7526
129.6 IPS |
