DESKTOP-YO01156 System manufacturer System Product Name
Geekbench AI Score
280
Single Precision Score
279
Half Precision Score
526
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | September 18 2025 10:20 AM |
| Views | 8 |
| Notes | Original 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 | 4.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
351
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
412
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
752
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
356
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
533
6.33 IPS |
|
|
Face Detection (Q)
|
97% |
969
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.20 IPS |
|
|
Depth Estimation (Q)
|
81% |
895
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
727
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2239
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
447
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.7 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.1 IPS |
|
|
Text Classification (Q)
|
91% |
197
264.6 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (Q)
|
100% |
246
4.24 IPS |
