ASUS System Product Name
Geekbench AI Score
6585
Single Precision Score
6571
Half Precision Score
17267
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MOSTAFA_ABBASI |
| Upload Date | February 14 2025 04:28 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% |
4090
760.7 IPS |
|
|
Image Classification (HP)
|
100% |
4067
756.3 IPS |
|
|
Image Classification (Q)
|
100% |
10559
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4364
70.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11481
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7549
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
7539
8.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
29384
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4057
321.8 IPS |
|
|
Object Detection (HP)
|
100% |
4035
320.0 IPS |
|
|
Object Detection (Q)
|
88% |
11408
914.5 IPS |
|
|
Face Detection (SP)
|
100% |
11280
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
29018
344.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10125
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10120
78.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30292
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20860
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20990
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77454
99.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15453
572.3 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (Q)
|
92% |
6247
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6490
111.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6502
112.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8822
152.0 IPS |
