ASUS System Product Name
Geekbench AI Score
15325
Single Precision Score
15322
Half Precision Score
34088
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 09:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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 Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9713
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9748
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
20124
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9502
154.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20629
334.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19680
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19752
23.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
76842
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
10031
795.7 IPS |
|
|
Object Detection (HP)
|
100% |
10009
793.9 IPS |
|
|
Object Detection (Q)
|
88% |
22805
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
30463
362.0 IPS |
|
|
Face Detection (HP)
|
100% |
30251
359.5 IPS |
|
|
Face Detection (Q)
|
100% |
56965
676.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26096
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26147
201.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67430
524.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55531
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55311
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
195059
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12125
447.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12100
446.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35583
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
7247
9.67 KIPS |
|
|
Text Classification (HP)
|
100% |
7234
9.66 KIPS |
|
|
Text Classification (Q)
|
92% |
9491
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
10112
174.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10154
174.9 IPS |
|
|
Machine Translation (Q)
|
100% |
11509
198.3 IPS |
