LENOVO 21L2S9XT00
Geekbench AI Score
2283
Single Precision Score
8013
Half Precision Score
12764
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21L2S9XT00 |
| Motherboard | LENOVO 21L2S9XT00 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
5975
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8698
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
29699
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
63639
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
100% |
4915
389.9 IPS |
|
|
Object Detection (Q)
|
88% |
8618
690.9 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
12876
153.0 IPS |
|
|
Face Detection (Q)
|
100% |
27128
322.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3426
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12443
95.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23932
186.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8549
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37571
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70826
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13957
515.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26946
997.9 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1809
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3559
61.3 IPS |
