ASUS System Product Name
Geekbench AI Score
15282
Single Precision Score
15379
Half Precision Score
33090
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | October 26 2024 11:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7531
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7759
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15807
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9525
154.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9017
146.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19505
316.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35193
41.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34871
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
139532
163.4 IPS |
|
|
Object Detection (SP)
|
100% |
9485
752.4 IPS |
|
|
Object Detection (HP)
|
100% |
8872
703.7 IPS |
|
|
Object Detection (Q)
|
88% |
18562
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
19531
232.1 IPS |
|
|
Face Detection (HP)
|
100% |
22846
271.5 IPS |
|
|
Face Detection (Q)
|
100% |
48960
581.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25459
196.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26405
203.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67391
524.4 IPS |
|
|
Style Transfer (SP)
|
100% |
91108
117.1 IPS |
|
|
Style Transfer (HP)
|
100% |
91406
117.5 IPS |
|
|
Style Transfer (Q)
|
98% |
317116
408.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15579
575.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15749
581.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39400
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5352
7.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
92% |
6724
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
7683
132.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7595
130.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7112
122.5 IPS |
