LENOVO 21QA0046TX
Geekbench AI Score
2832
Single Precision Score
30380
Half Precision Score
49805
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 17 2026 03:38 PM |
| Views | 3 |
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 21QA0046TX |
| Motherboard | LENOVO 21QA0046TX |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1856
345.2 IPS |
|
|
Image Classification (HP)
|
100% |
15814
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
22293
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17838
289.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32305
523.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
107920
125.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
248718
291.3 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
17840
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
27981
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
5079
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
43998
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
98977
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4035
31.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
82164
637.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
164479
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
7335
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
238252
306.3 IPS |
|
|
Style Transfer (Q)
|
98% |
408345
526.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45500
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79864
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
3717
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9665
166.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9497
163.6 IPS |
