LENOVO 7514W26
Geekbench AI Score
203
Single Precision Score
203
Half Precision Score
555
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | kecskesajt |
| Upload Date | February 16 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | Teljestmnycentrikus |
| 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% |
118
21.9 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
100% |
381
70.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
412
6.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
853
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.04 IPS |
|
|
Object Detection (Q)
|
87% |
387
31.0 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (Q)
|
97% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
290
2.24 IPS |
|
|
Depth Estimation (Q)
|
81% |
930
7.34 IPS |
|
|
Style Transfer (SP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
610
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2731
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.78 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.3 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.7 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.4 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (Q)
|
100% |
155
2.67 IPS |
