LENOVO 21SRCTO1WW
Geekbench AI Score
4276
Single Precision Score
8733
Half Precision Score
14096
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21SRCTO1WW |
| Motherboard | LENOVO 21SRCTO1WW |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (HP)
|
100% |
5521
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8370
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
33243
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
71602
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
5564
441.3 IPS |
|
|
Object Detection (Q)
|
88% |
9755
782.1 IPS |
|
|
Face Detection (SP)
|
100% |
5422
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
14702
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
30800
366.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6737
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15468
119.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
28601
222.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17334
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41316
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81867
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3358
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15786
582.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30012
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3161
54.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3582
61.7 IPS |
