ASUS System Product Name
Geekbench AI Score
13500
Single Precision Score
13762
Half Precision Score
28902
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:47 PM |
| 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% |
6473
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
7243
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
14162
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8312
134.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8718
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15890
257.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32549
38.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32538
38.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
126695
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
8009
635.3 IPS |
|
|
Object Detection (HP)
|
100% |
8180
648.9 IPS |
|
|
Object Detection (Q)
|
88% |
17662
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
16688
198.3 IPS |
|
|
Face Detection (HP)
|
100% |
17216
204.6 IPS |
|
|
Face Detection (Q)
|
100% |
41730
495.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24126
185.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
25162
193.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
61195
485.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81430
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
80634
103.7 IPS |
|
|
Style Transfer (Q)
|
98% |
279592
360.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14006
517.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13615
502.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35218
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4917
6.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4883
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5620
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6244
107.6 IPS |
|
|
Machine Translation (Q)
|
85% |
5716
99.9 IPS |
