LENOVO 21QA0046TX
Geekbench AI Score
2543
Single Precision Score
1908
Half Precision Score
6527
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 17 2026 03:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1850
344.0 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (Q)
|
100% |
5158
959.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4609
74.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
8383
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
1130
89.6 IPS |
|
|
Object Detection (Q)
|
88% |
4210
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
4315
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
8336
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3093
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2287
17.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10567
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6631
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4948
6.36 IPS |
|
|
Style Transfer (Q)
|
98% |
25121
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5956
220.6 IPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3056
52.6 IPS |
