LENOVO 13A5S0BA00
Geekbench AI Score
3849
Single Precision Score
6740
Half Precision Score
10717
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 11:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2906
540.4 IPS |
|
|
Image Classification (HP)
|
100% |
4560
848.0 IPS |
|
|
Image Classification (Q)
|
100% |
6531
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5435
88.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8042
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8747
10.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
8741
10.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
26144
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
99% |
4185
332.0 IPS |
|
|
Object Detection (Q)
|
88% |
7624
611.0 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
15825
188.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7880
60.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
15061
116.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20618
160.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21085
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34319
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
62989
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7378
272.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11555
427.9 IPS |
|
|
Text Classification (SP)
|
71% |
1530
2.21 KIPS |
|
|
Text Classification (HP)
|
71% |
2181
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2566
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3005
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3135
54.2 IPS |
