System manufacturer System Product Name
Geekbench AI Score
4647
Single Precision Score
4525
Half Precision Score
6282
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | June 01 2025 10:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2777
516.4 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.0 IPS |
|
|
Image Classification (Q)
|
100% |
4008
745.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4887
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
10786
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2774
220.0 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
87% |
4195
336.5 IPS |
|
|
Face Detection (SP)
|
100% |
8785
104.4 IPS |
|
|
Face Detection (HP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (Q)
|
97% |
12297
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7215
55.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
11894
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15737
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15878
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30364
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3288
121.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6267
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (Q)
|
91% |
924
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4203
72.4 IPS |
