ASUS System Product Name
Geekbench AI Score
7054
Single Precision Score
7086
Half Precision Score
17324
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 15 2024 08:04 PM |
| Views | 18 |
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 STRIX B650E-F GAMING WIFI |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4491
835.2 IPS |
|
|
Image Classification (HP)
|
100% |
4527
841.9 IPS |
|
|
Image Classification (Q)
|
100% |
10511
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4048
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4063
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10301
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8188
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
8259
9.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
32696
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
4457
353.6 IPS |
|
|
Object Detection (HP)
|
100% |
4453
353.2 IPS |
|
|
Object Detection (Q)
|
88% |
11417
915.2 IPS |
|
|
Face Detection (SP)
|
100% |
14516
172.5 IPS |
|
|
Face Detection (HP)
|
100% |
14575
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
29970
356.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11525
88.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
11560
89.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
31747
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23094
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23347
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84626
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16163
598.6 IPS |
|
|
Text Classification (SP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5531
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6009
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (Q)
|
85% |
8372
146.4 IPS |
