ASUS System Product Name
Geekbench AI Score
13812
Single Precision Score
13949
Half Precision Score
29734
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:43 PM |
| Views | 29 |
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% |
7034
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7506
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
15094
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8212
133.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8053
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16226
263.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33358
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33764
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
132282
154.9 IPS |
|
|
Object Detection (SP)
|
100% |
7850
622.6 IPS |
|
|
Object Detection (HP)
|
100% |
8573
680.0 IPS |
|
|
Object Detection (Q)
|
88% |
17549
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
17591
209.0 IPS |
|
|
Face Detection (HP)
|
100% |
18328
217.8 IPS |
|
|
Face Detection (Q)
|
100% |
41585
494.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25571
197.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
24295
187.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
65183
516.6 IPS |
|
|
Style Transfer (SP)
|
100% |
83741
107.7 IPS |
|
|
Style Transfer (HP)
|
100% |
82998
106.7 IPS |
|
|
Style Transfer (Q)
|
98% |
292249
376.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14133
521.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13860
511.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36059
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4894
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5512
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6413
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6368
109.7 IPS |
|
|
Machine Translation (Q)
|
85% |
6035
105.5 IPS |
