ASUS System Product Name
Geekbench AI Score
15173
Single Precision Score
15000
Half Precision Score
33066
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 15 2025 12:35 PM |
| Views | 3 |
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% |
7435
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7419
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15736
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8961
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8948
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19085
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34962
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34688
40.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
134622
157.6 IPS |
|
|
Object Detection (SP)
|
100% |
8791
697.3 IPS |
|
|
Object Detection (HP)
|
100% |
8605
682.5 IPS |
|
|
Object Detection (Q)
|
88% |
19016
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
19384
230.3 IPS |
|
|
Face Detection (HP)
|
100% |
18728
222.5 IPS |
|
|
Face Detection (Q)
|
100% |
49377
586.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27773
214.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27807
214.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
70054
545.1 IPS |
|
|
Style Transfer (SP)
|
100% |
88530
113.8 IPS |
|
|
Style Transfer (HP)
|
100% |
89602
115.2 IPS |
|
|
Style Transfer (Q)
|
98% |
308711
398.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16111
594.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16079
593.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41356
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6318
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
7518
129.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7608
131.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7284
125.5 IPS |
