ASUS System Product Name
Geekbench AI Score
14961
Single Precision Score
14912
Half Precision Score
32240
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 12 2025 07:01 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% |
7133
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7221
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15543
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8767
142.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9047
146.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18590
301.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34043
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33940
39.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
130477
152.8 IPS |
|
|
Object Detection (SP)
|
100% |
8487
673.2 IPS |
|
|
Object Detection (HP)
|
100% |
8702
690.2 IPS |
|
|
Object Detection (Q)
|
88% |
18659
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
21053
250.2 IPS |
|
|
Face Detection (HP)
|
100% |
18579
220.8 IPS |
|
|
Face Detection (Q)
|
100% |
48600
577.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28991
223.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27894
214.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
66906
520.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84724
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86308
110.9 IPS |
|
|
Style Transfer (Q)
|
98% |
302774
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15223
562.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15484
571.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40059
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5317
7.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6102
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
7432
128.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7396
127.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7168
123.5 IPS |
