ASUS System Product Name
Geekbench AI Score
15010
Single Precision Score
14946
Half Precision Score
33108
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | October 27 2024 12:07 AM |
| Views | 2 |
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% |
7609
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7095
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
16091
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9151
148.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8853
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19169
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34175
39.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33928
39.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
134269
157.2 IPS |
|
|
Object Detection (SP)
|
100% |
8480
672.6 IPS |
|
|
Object Detection (HP)
|
100% |
8614
683.3 IPS |
|
|
Object Detection (Q)
|
88% |
19440
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
19821
235.5 IPS |
|
|
Face Detection (HP)
|
100% |
20720
246.2 IPS |
|
|
Face Detection (Q)
|
100% |
49967
593.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26617
205.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25610
197.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
70415
547.9 IPS |
|
|
Style Transfer (SP)
|
100% |
87576
112.6 IPS |
|
|
Style Transfer (HP)
|
100% |
87332
112.3 IPS |
|
|
Style Transfer (Q)
|
98% |
308168
397.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15464
571.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16081
593.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40810
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6143
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7515
129.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7638
131.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7233
124.6 IPS |
