LENOVO 21QA001ATW
Geekbench AI Score
2415
Single Precision Score
1440
Half Precision Score
6183
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:09 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% |
1658
308.3 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (Q)
|
100% |
4623
859.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4514
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3116
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1903
2.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
8123
9.52 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (Q)
|
88% |
4203
336.9 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
1867
22.2 IPS |
|
|
Face Detection (Q)
|
100% |
10088
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3481
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1911
14.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10949
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6177
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
4510
5.80 IPS |
|
|
Style Transfer (Q)
|
98% |
23781
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5633
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4337
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1787
30.8 IPS |
