ASUS System Product Name
Geekbench AI Score
7925
Single Precision Score
7951
Half Precision Score
19286
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:58 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% |
5100
948.4 IPS |
|
|
Image Classification (HP)
|
100% |
5078
944.4 IPS |
|
|
Image Classification (Q)
|
100% |
11450
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4391
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11888
192.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9270
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9255
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
36027
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
4993
396.1 IPS |
|
|
Object Detection (HP)
|
100% |
4983
395.3 IPS |
|
|
Object Detection (Q)
|
88% |
12450
998.0 IPS |
|
|
Face Detection (SP)
|
100% |
16470
195.7 IPS |
|
|
Face Detection (HP)
|
100% |
16416
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
32883
390.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12952
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12916
99.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35614
277.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25848
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25781
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91943
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18279
676.9 IPS |
|
|
Text Classification (SP)
|
100% |
4313
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
92% |
6589
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6720
115.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8995
154.9 IPS |
