ASUS System Product Name
Geekbench AI Score
15296
Single Precision Score
15158
Half Precision Score
32928
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 15 2025 12:13 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% |
7273
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7116
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
15306
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9267
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9211
149.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19060
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35019
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34850
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
134599
157.6 IPS |
|
|
Object Detection (SP)
|
100% |
8554
678.5 IPS |
|
|
Object Detection (HP)
|
100% |
9059
718.6 IPS |
|
|
Object Detection (Q)
|
88% |
19237
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
20574
244.5 IPS |
|
|
Face Detection (HP)
|
100% |
19413
230.7 IPS |
|
|
Face Detection (Q)
|
100% |
47416
563.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27957
215.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28665
220.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
69602
541.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88668
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
88591
113.9 IPS |
|
|
Style Transfer (Q)
|
98% |
310548
400.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15753
581.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15282
564.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40327
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5454
7.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (Q)
|
92% |
6372
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7928
136.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7908
136.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7533
129.8 IPS |
