ASUS System Product Name
Geekbench AI Score
14895
Single Precision Score
15139
Half Precision Score
33000
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 23 2024 06:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
7419
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7917
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
16366
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9837
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18843
305.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33892
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34026
39.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
135452
158.6 IPS |
|
|
Object Detection (SP)
|
100% |
8776
696.1 IPS |
|
|
Object Detection (HP)
|
100% |
8501
674.3 IPS |
|
|
Object Detection (Q)
|
88% |
19196
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
18755
222.8 IPS |
|
|
Face Detection (HP)
|
100% |
18899
224.6 IPS |
|
|
Face Detection (Q)
|
100% |
50066
594.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26106
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26190
201.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67128
522.3 IPS |
|
|
Style Transfer (SP)
|
100% |
87213
112.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88088
113.2 IPS |
|
|
Style Transfer (Q)
|
98% |
308821
398.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15333
566.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15593
575.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40544
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5386
7.19 KIPS |
|
|
Text Classification (Q)
|
92% |
6220
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
7494
129.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7669
132.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7298
125.7 IPS |
