ASUS System Product Name
Geekbench AI Score
8128
Single Precision Score
8120
Half Precision Score
19681
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| 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 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% |
5233
973.2 IPS |
|
|
Image Classification (HP)
|
100% |
5237
973.9 IPS |
|
|
Image Classification (Q)
|
100% |
11648
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4483
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4493
72.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12022
194.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9432
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9381
10.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
36898
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (HP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (Q)
|
88% |
12896
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
16953
201.4 IPS |
|
|
Face Detection (HP)
|
100% |
16676
198.1 IPS |
|
|
Face Detection (Q)
|
100% |
33682
400.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13428
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13314
102.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35994
280.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26436
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25913
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93773
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18572
687.8 IPS |
|
|
Text Classification (SP)
|
100% |
4492
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6785
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6840
117.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6797
117.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9138
157.4 IPS |
