ASUS System Product Name
Geekbench AI Score
15155
Single Precision Score
15284
Half Precision Score
32786
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 15 2025 12:10 PM |
| Views | 4 |
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% |
7568
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7296
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
15094
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8628
139.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8874
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18443
299.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34892
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34878
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
136006
159.2 IPS |
|
|
Object Detection (SP)
|
100% |
8901
706.0 IPS |
|
|
Object Detection (HP)
|
100% |
9273
735.5 IPS |
|
|
Object Detection (Q)
|
88% |
18983
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
19651
233.5 IPS |
|
|
Face Detection (HP)
|
100% |
19386
230.3 IPS |
|
|
Face Detection (Q)
|
100% |
49716
590.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27982
215.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27197
209.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
68211
530.7 IPS |
|
|
Style Transfer (SP)
|
100% |
87904
113.0 IPS |
|
|
Style Transfer (HP)
|
100% |
88267
113.5 IPS |
|
|
Style Transfer (Q)
|
98% |
305868
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15781
582.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16339
603.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40005
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5203
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5352
7.14 KIPS |
|
|
Text Classification (Q)
|
92% |
6155
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7943
136.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8166
140.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7819
134.7 IPS |
