LENOVO 21SXCTO1WW
Geekbench AI Score
4133
Single Precision Score
8989
Half Precision Score
14385
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 02:24 AM |
| Views | 6 |
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 21SXCTO1WW |
| Motherboard | LENOVO 21SXCTO1WW |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (HP)
|
100% |
6708
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10001
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4620
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
30266
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68899
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
5505
436.6 IPS |
|
|
Object Detection (Q)
|
88% |
9664
774.7 IPS |
|
|
Face Detection (SP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
14729
175.0 IPS |
|
|
Face Detection (Q)
|
100% |
29798
354.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6452
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13803
106.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
25961
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17211
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40263
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
79392
102.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15988
590.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30911
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2076
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4142
71.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4103
70.7 IPS |
