ASUS System Product Name
Geekbench AI Score
15148
Single Precision Score
15238
Half Precision Score
33384
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:32 PM |
| Views | 14 |
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% |
7167
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7423
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
16141
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9573
155.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9124
147.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19415
314.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34814
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34750
40.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
138707
162.4 IPS |
|
|
Object Detection (SP)
|
100% |
9106
722.3 IPS |
|
|
Object Detection (HP)
|
100% |
9007
714.4 IPS |
|
|
Object Detection (Q)
|
88% |
19644
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
19724
234.4 IPS |
|
|
Face Detection (HP)
|
100% |
19588
232.7 IPS |
|
|
Face Detection (Q)
|
100% |
50033
594.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25721
198.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26885
207.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67936
528.6 IPS |
|
|
Style Transfer (SP)
|
100% |
90162
115.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90542
116.4 IPS |
|
|
Style Transfer (Q)
|
98% |
313552
404.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15718
580.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15873
586.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41229
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5268
7.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6265
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
7725
133.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7580
130.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7315
126.0 IPS |
