ASUS System Product Name
Geekbench AI Score
15029
Single Precision Score
14927
Half Precision Score
33058
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:28 PM |
| Views | 15 |
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% |
7123
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7349
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
16168
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10024
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8831
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19023
308.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33963
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34629
40.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
136792
160.1 IPS |
|
|
Object Detection (SP)
|
100% |
8733
692.7 IPS |
|
|
Object Detection (HP)
|
100% |
8823
699.9 IPS |
|
|
Object Detection (Q)
|
88% |
19478
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
18713
222.4 IPS |
|
|
Face Detection (HP)
|
100% |
19370
230.2 IPS |
|
|
Face Detection (Q)
|
100% |
51687
614.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26128
201.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26017
200.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
68906
536.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88693
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
88850
114.2 IPS |
|
|
Style Transfer (Q)
|
98% |
305168
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15490
572.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15241
562.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41543
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5248
7.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
92% |
6031
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
7879
135.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7465
128.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6986
120.3 IPS |
