DESKTOP-YO01156 U1 System manufacturer System Product Name
Geekbench AI Score
268
Single Precision Score
199
Half Precision Score
371
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | October 05 2025 09:40 AM |
| Views | 6 |
| Notes | Upgrade 1 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 | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
96% |
269
50.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
241
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
494
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.59 IPS |
|
|
Object Detection (Q)
|
58% |
193
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (Q)
|
96% |
623
7.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
298
2.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
582
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
786
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (Q)
|
87% |
1087
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.6 IPS |
|
|
Text Classification (HP)
|
100% |
137
183.2 IPS |
|
|
Text Classification (Q)
|
97% |
180
241.7 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
68% |
405
7.82 IPS |
