DESKTOP-YO01156 System manufacturer System Product Name
Geekbench AI Score
265
Single Precision Score
198
Half Precision Score
370
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | September 18 2025 09:18 AM |
| Views | 5 |
| Notes | Original Windows 10 Pro 22H2 x64 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-650 |
| 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% |
163
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
96% |
268
50.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
244
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
492
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.54 IPS |
|
|
Object Detection (Q)
|
58% |
192
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (Q)
|
96% |
628
7.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
577
4.60 IPS |
|
|
Style Transfer (SP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (Q)
|
87% |
1072
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
285
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
204
273.0 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.5 IPS |
|
|
Text Classification (Q)
|
97% |
181
241.9 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (Q)
|
68% |
398
7.69 IPS |
