ASUS System Product Name
Geekbench AI Score
13660
Single Precision Score
13562
Half Precision Score
29293
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:48 PM |
| Views | 4 |
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% |
7324
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
6933
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
15268
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8482
137.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8123
131.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16130
261.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32137
37.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32550
38.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
124965
146.3 IPS |
|
|
Object Detection (SP)
|
100% |
7854
623.0 IPS |
|
|
Object Detection (HP)
|
100% |
8046
638.2 IPS |
|
|
Object Detection (Q)
|
88% |
17321
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
17512
208.1 IPS |
|
|
Face Detection (HP)
|
100% |
17265
205.1 IPS |
|
|
Face Detection (Q)
|
100% |
41406
492.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24355
187.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
24911
191.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
61326
486.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81709
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
80025
102.9 IPS |
|
|
Style Transfer (Q)
|
98% |
279635
360.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13642
503.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13682
505.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36318
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4776
6.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4716
6.29 KIPS |
|
|
Text Classification (Q)
|
92% |
5552
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6354
109.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6428
110.7 IPS |
|
|
Machine Translation (Q)
|
85% |
6097
106.6 IPS |
