LENOVO 7514W26
Geekbench AI Score
188
Single Precision Score
152
Half Precision Score
371
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | kecskesajt |
| Upload Date | February 16 2025 01:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU L5410 @ 2.33GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 7514W26 |
| Motherboard | LENOVO To be filled by O.E.M. |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU L5410 @ 2.33GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 2.33 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | SDRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (HP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (Q)
|
96% |
316
59.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
259
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
301
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
636
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.69 IPS |
|
|
Object Detection (Q)
|
58% |
226
24.7 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (Q)
|
96% |
563
6.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
281
2.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
226
1.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
646
5.15 IPS |
|
|
Style Transfer (SP)
|
100% |
546
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (Q)
|
87% |
1131
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.0 IPS |
|
|
Text Classification (HP)
|
100% |
108
144.5 IPS |
|
|
Text Classification (Q)
|
97% |
115
153.8 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (HP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (Q)
|
68% |
300
5.79 IPS |
