ASUS System Product Name
Geekbench AI Score
4705
Single Precision Score
4791
Half Precision Score
7075
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Wint3rmu7e |
| Upload Date | October 12 2025 12:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
100% |
4431
824.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3552
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5313
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5414
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
11317
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2818
223.5 IPS |
|
|
Object Detection (HP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (Q)
|
87% |
4851
389.1 IPS |
|
|
Face Detection (SP)
|
100% |
7705
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
7677
91.2 IPS |
|
|
Face Detection (Q)
|
97% |
13042
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7071
54.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
12735
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16101
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16401
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32098
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3327
122.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6750
250.0 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
1418
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4852
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4740
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4766
82.1 IPS |
