DESKTOP-YO01156 U1 System manufacturer System Product Name
Geekbench AI Score
280
Single Precision Score
279
Half Precision Score
527
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | October 05 2025 10:16 AM |
| Views | 7 |
| Notes | Upgrade 1 Windows 10 Pro 22H2 x64 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5 CPU 650 @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P7H55-M LX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-650 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
352
65.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
400
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
753
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
357
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
97% |
972
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.19 IPS |
|
|
Depth Estimation (Q)
|
81% |
898
7.09 IPS |
|
|
Style Transfer (SP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
2245
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.92 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
449
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.6 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.2 IPS |
|
|
Text Classification (Q)
|
91% |
198
265.9 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
100% |
251
4.32 IPS |
