ASUS System Product Name
Geekbench AI Score
15320
Single Precision Score
15182
Half Precision Score
33652
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 15 2025 12:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000719-52_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000719-52_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7870
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7349
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
16219
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9105
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9381
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19140
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35671
41.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35266
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
136308
159.6 IPS |
|
|
Object Detection (SP)
|
100% |
8847
701.7 IPS |
|
|
Object Detection (HP)
|
100% |
8641
685.4 IPS |
|
|
Object Detection (Q)
|
88% |
18811
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
20787
247.0 IPS |
|
|
Face Detection (HP)
|
100% |
19827
235.6 IPS |
|
|
Face Detection (Q)
|
100% |
55634
661.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27848
214.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27738
213.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
69189
538.4 IPS |
|
|
Style Transfer (SP)
|
100% |
88858
114.2 IPS |
|
|
Style Transfer (HP)
|
100% |
89337
114.8 IPS |
|
|
Style Transfer (Q)
|
98% |
307613
396.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15617
576.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16014
591.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40760
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5100
6.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6463
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
7543
129.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7719
133.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7503
129.2 IPS |
