ASUS System Product Name
Geekbench AI Score
5665
Single Precision Score
5460
Half Precision Score
7546
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FitchFarms |
| Upload Date | August 08 2025 09:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3476
646.4 IPS |
|
|
Image Classification (HP)
|
100% |
3432
638.3 IPS |
|
|
Image Classification (Q)
|
100% |
4998
929.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6079
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6764
7.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
13610
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (HP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (Q)
|
87% |
5094
408.6 IPS |
|
|
Face Detection (SP)
|
100% |
10505
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
10334
122.8 IPS |
|
|
Face Detection (Q)
|
97% |
14165
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8216
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6734
51.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
14630
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19587
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19879
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38362
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7873
291.6 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (Q)
|
91% |
1004
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4814
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4526
78.0 IPS |
