ASUS System Product Name
Geekbench AI Score
15279
Single Precision Score
15271
Half Precision Score
33714
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 15 2025 12:39 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% |
7174
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7265
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
16325
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9201
149.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8992
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20256
328.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34574
40.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35521
41.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
136930
160.3 IPS |
|
|
Object Detection (SP)
|
100% |
9124
723.7 IPS |
|
|
Object Detection (HP)
|
100% |
8757
694.6 IPS |
|
|
Object Detection (Q)
|
88% |
19408
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
20545
244.1 IPS |
|
|
Face Detection (HP)
|
100% |
21405
254.3 IPS |
|
|
Face Detection (Q)
|
100% |
49842
592.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27664
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28566
220.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67536
525.5 IPS |
|
|
Style Transfer (SP)
|
100% |
88737
114.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88255
113.5 IPS |
|
|
Style Transfer (Q)
|
98% |
310564
400.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15645
577.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15624
576.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41554
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5548
7.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6558
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
7611
131.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7437
128.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7578
130.5 IPS |
