LENOVO 13A5S0BA00
Geekbench AI Score
4984
Single Precision Score
3551
Half Precision Score
12492
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 11:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235T |
| 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% |
3160
587.7 IPS |
|
|
Image Classification (HP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (Q)
|
100% |
7912
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4072
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8077
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5813
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3886
4.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
22353
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2953
234.2 IPS |
|
|
Object Detection (HP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (Q)
|
88% |
8605
689.8 IPS |
|
|
Face Detection (SP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
6826
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
21789
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7642
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5273
40.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21764
169.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16662
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11158
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
62921
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3663
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2531
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11915
441.3 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5040
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4235
72.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4204
72.4 IPS |
