LENOVO 13A5S0BA00
Geekbench AI Score
4980
Single Precision Score
8697
Half Precision Score
13758
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 11:12 AM |
| 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 13A5S0BA00 |
| Motherboard | LENOVO 337D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235T |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3164
588.4 IPS |
|
|
Image Classification (HP)
|
100% |
6574
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9506
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3895
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5775
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
33950
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73444
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
2885
228.9 IPS |
|
|
Object Detection (HP)
|
100% |
5335
423.1 IPS |
|
|
Object Detection (Q)
|
87% |
9490
761.7 IPS |
|
|
Face Detection (SP)
|
100% |
7504
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
12853
152.7 IPS |
|
|
Face Detection (Q)
|
100% |
26043
309.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7564
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13205
101.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
24706
192.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17560
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40316
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75848
97.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13408
495.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22551
835.2 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2024
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2122
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4647
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4032
69.5 IPS |
