ASUS System Product Name
Geekbench AI Score
6606
Single Precision Score
6607
Half Precision Score
17343
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MOSTAFA_ABBASI |
| Upload Date | February 14 2025 04:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4076
758.0 IPS |
|
|
Image Classification (HP)
|
100% |
4074
757.7 IPS |
|
|
Image Classification (Q)
|
100% |
10594
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11472
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7572
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7577
8.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
29606
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4065
322.4 IPS |
|
|
Object Detection (HP)
|
100% |
4075
323.2 IPS |
|
|
Object Detection (Q)
|
88% |
11376
911.9 IPS |
|
|
Face Detection (SP)
|
100% |
11236
133.5 IPS |
|
|
Face Detection (HP)
|
100% |
11337
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
29315
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10198
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10187
78.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30507
237.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21114
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21143
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77500
99.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15629
578.8 IPS |
|
|
Text Classification (SP)
|
100% |
3705
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
92% |
6299
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6499
111.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6455
111.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8815
151.8 IPS |
