LENOVO 21QA0046TX
Geekbench AI Score
11431
Single Precision Score
30754
Half Precision Score
36692
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 17 2026 03:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7013
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
15153
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
19854
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9878
160.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27577
447.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32144
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23851
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
131989
154.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
268783
314.7 IPS |
|
|
Object Detection (SP)
|
100% |
6696
531.1 IPS |
|
|
Object Detection (HP)
|
100% |
17607
1.40 KIPS |
|
|
Object Detection (Q)
|
88% |
22268
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
14841
176.3 IPS |
|
|
Face Detection (HP)
|
100% |
34842
414.0 IPS |
|
|
Face Detection (Q)
|
100% |
50100
595.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24985
192.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60752
468.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
71407
555.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58812
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
217240
279.3 IPS |
|
|
Style Transfer (Q)
|
98% |
312095
402.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9819
362.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35696
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42993
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4431
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6275
8.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3298
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7567
130.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7316
126.0 IPS |
