ASUS System Product Name
Geekbench AI Score
7962
Single Precision Score
7907
Half Precision Score
19231
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:15 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% |
5195
966.2 IPS |
|
|
Image Classification (HP)
|
100% |
5024
934.3 IPS |
|
|
Image Classification (Q)
|
100% |
11615
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4483
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4459
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11832
191.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9323
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9113
10.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
36199
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
5121
406.2 IPS |
|
|
Object Detection (HP)
|
100% |
4942
392.0 IPS |
|
|
Object Detection (Q)
|
88% |
12530
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
16415
195.0 IPS |
|
|
Face Detection (HP)
|
100% |
16421
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
33439
397.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13113
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12867
99.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
35399
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25777
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25207
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90278
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17959
665.1 IPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
92% |
6491
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6941
119.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8914
153.5 IPS |
