ASUS System Product Name
Geekbench AI Score
15160
Single Precision Score
15080
Half Precision Score
33315
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:38 PM |
| Views | 3 |
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% |
7138
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7313
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
16198
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9408
152.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9275
150.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18893
306.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34263
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34346
40.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
137172
160.6 IPS |
|
|
Object Detection (SP)
|
100% |
8490
673.5 IPS |
|
|
Object Detection (HP)
|
100% |
9074
719.8 IPS |
|
|
Object Detection (Q)
|
88% |
18331
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
19659
233.6 IPS |
|
|
Face Detection (HP)
|
100% |
20355
241.9 IPS |
|
|
Face Detection (Q)
|
100% |
50260
597.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26855
206.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25538
196.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
68901
536.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89746
115.4 IPS |
|
|
Style Transfer (HP)
|
100% |
88780
114.1 IPS |
|
|
Style Transfer (Q)
|
98% |
314683
405.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16204
598.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15127
558.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41886
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6536
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
7703
132.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7690
132.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7337
126.4 IPS |
