LENOVO 21QA0046TX
Geekbench AI Score
2645
Single Precision Score
1940
Half Precision Score
6762
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 22 2026 01:23 AM |
| Views | 9 |
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% |
1796
334.0 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (Q)
|
100% |
5106
949.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4688
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
10189
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
1163
92.2 IPS |
|
|
Object Detection (Q)
|
88% |
4400
352.7 IPS |
|
|
Face Detection (SP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (Q)
|
100% |
9995
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3531
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2724
21.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10561
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7345
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5182
6.66 IPS |
|
|
Style Transfer (Q)
|
98% |
26902
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5592
207.1 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4272
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2749
47.4 IPS |
