LENOVO 7514W26
Geekbench AI Score
103
Single Precision Score
91
Half Precision Score
193
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | almaspite |
| Upload Date | February 15 2026 03:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU L5410 @ 2.33GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | LENOVO 7514W26 |
| Motherboard | LENOVO To be filled by O.E.M. |
| Power Plan | Ultimate Performance |
| 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% |
116
21.5 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (Q)
|
96% |
146
27.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
57
0.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
49
0.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
179
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
181
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
253
0.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
436
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.04 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.14 IPS |
|
|
Object Detection (Q)
|
58% |
75
8.14 IPS |
|
|
Face Detection (SP)
|
100% |
122
1.45 IPS |
|
|
Face Detection (HP)
|
100% |
72
0.85 IPS |
|
|
Face Detection (Q)
|
96% |
241
2.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
137
1.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
276
2.20 IPS |
|
|
Style Transfer (SP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (Q)
|
87% |
781
1.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55
2.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
74
2.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
155
5.75 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.6 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.1 IPS |
|
|
Text Classification (Q)
|
97% |
57
76.6 IPS |
|
|
Machine Translation (SP)
|
100% |
101
1.74 IPS |
|
|
Machine Translation (HP)
|
100% |
67
1.15 IPS |
|
|
Machine Translation (Q)
|
68% |
183
3.54 IPS |
