ASUS System Product Name
Geekbench AI Score
6445
Single Precision Score
6446
Half Precision Score
16919
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MOSTAFA_ABBASI |
| Upload Date | February 14 2025 04:00 PM |
| Views | 8 |
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% |
3951
734.8 IPS |
|
|
Image Classification (HP)
|
100% |
3972
738.6 IPS |
|
|
Image Classification (Q)
|
100% |
10373
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4353
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11149
180.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7343
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
7357
8.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
28664
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
3964
314.4 IPS |
|
|
Object Detection (Q)
|
88% |
11098
889.7 IPS |
|
|
Face Detection (SP)
|
100% |
11057
131.4 IPS |
|
|
Face Detection (HP)
|
100% |
11068
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
28522
338.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9890
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9907
76.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
29409
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20504
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20508
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75247
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15177
562.1 IPS |
|
|
Text Classification (SP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
92% |
6261
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6436
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6391
110.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8713
150.1 IPS |
