ASUS System Product Name
Geekbench AI Score
6608
Single Precision Score
6574
Half Precision Score
17308
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MOSTAFA_ABBASI |
| Upload Date | February 14 2025 04:22 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% |
4097
761.9 IPS |
|
|
Image Classification (HP)
|
100% |
4094
761.3 IPS |
|
|
Image Classification (Q)
|
100% |
10573
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4463
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4319
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11407
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7580
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7572
8.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
29544
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4081
323.7 IPS |
|
|
Object Detection (HP)
|
100% |
4082
323.8 IPS |
|
|
Object Detection (Q)
|
88% |
11401
913.9 IPS |
|
|
Face Detection (SP)
|
100% |
11305
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
11284
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
29081
345.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10181
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10198
78.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30368
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21153
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20978
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77611
100.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15597
577.6 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (Q)
|
92% |
6300
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6432
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6408
110.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8818
151.9 IPS |
