ASUS System Product Name
Geekbench AI Score
7844
Single Precision Score
7823
Half Precision Score
19041
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5080
944.7 IPS |
|
|
Image Classification (HP)
|
100% |
5083
945.4 IPS |
|
|
Image Classification (Q)
|
100% |
11324
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4405
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4370
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11808
191.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9171
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9166
10.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
35888
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4965
393.8 IPS |
|
|
Object Detection (HP)
|
100% |
4952
392.8 IPS |
|
|
Object Detection (Q)
|
88% |
12301
986.1 IPS |
|
|
Face Detection (SP)
|
100% |
16402
194.9 IPS |
|
|
Face Detection (HP)
|
100% |
16296
193.6 IPS |
|
|
Face Detection (Q)
|
100% |
32734
389.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12811
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12741
98.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35088
273.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25602
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25530
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90945
117.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18091
670.0 IPS |
|
|
Text Classification (SP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
92% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6483
111.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8709
150.0 IPS |
