ASUS System Product Name
Geekbench AI Score
13806
Single Precision Score
13663
Half Precision Score
29266
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:38 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% |
6908
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7008
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
14603
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8391
136.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7992
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16022
259.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33702
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33684
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
131964
154.5 IPS |
|
|
Object Detection (SP)
|
100% |
8165
647.7 IPS |
|
|
Object Detection (HP)
|
100% |
8126
644.6 IPS |
|
|
Object Detection (Q)
|
88% |
17050
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
17673
210.0 IPS |
|
|
Face Detection (HP)
|
100% |
18099
215.1 IPS |
|
|
Face Detection (Q)
|
100% |
40962
486.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24620
189.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
24626
189.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
63581
503.9 IPS |
|
|
Style Transfer (SP)
|
100% |
83223
107.0 IPS |
|
|
Style Transfer (HP)
|
100% |
82857
106.5 IPS |
|
|
Style Transfer (Q)
|
98% |
291020
375.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13894
513.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13713
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35715
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4692
6.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5426
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6477
111.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (Q)
|
85% |
5962
104.2 IPS |
