LENOVO 21QA001ATW
Geekbench AI Score
2457
Single Precision Score
1427
Half Precision Score
6297
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21QA001ATW |
| Motherboard | LENOVO 21QA001ATW |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1695
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (Q)
|
100% |
4641
863.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4558
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1794
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
7967
9.33 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (Q)
|
88% |
4195
336.3 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
10623
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3566
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1963
15.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11131
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6453
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4639
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
24085
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5670
210.0 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
4473
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1920
33.1 IPS |
