ASUS System Product Name
Geekbench AI Score
15080
Single Precision Score
15445
Half Precision Score
33187
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 07:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balansert |
| 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% |
7669
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7733
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15954
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8575
139.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9483
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18775
304.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34164
39.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34126
39.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
134789
157.8 IPS |
|
|
Object Detection (SP)
|
100% |
8992
713.2 IPS |
|
|
Object Detection (HP)
|
100% |
8619
683.7 IPS |
|
|
Object Detection (Q)
|
88% |
19115
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
19868
236.1 IPS |
|
|
Face Detection (HP)
|
100% |
22184
263.6 IPS |
|
|
Face Detection (Q)
|
100% |
49106
583.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25934
199.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27015
208.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67349
524.0 IPS |
|
|
Style Transfer (SP)
|
100% |
87224
112.1 IPS |
|
|
Style Transfer (HP)
|
100% |
87633
112.7 IPS |
|
|
Style Transfer (Q)
|
98% |
310699
400.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16161
596.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15491
572.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
43203
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
5433
7.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
92% |
6362
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7630
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7732
133.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7436
128.1 IPS |
