LENOVO 21QDS0EB00
Geekbench AI Score
2905
Single Precision Score
9301
Half Precision Score
14170
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 06:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QDS0EB00 |
| Motherboard | LENOVO 21QDS0EB00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
6626
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9292
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3668
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
32171
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
70151
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
5813
461.1 IPS |
|
|
Object Detection (Q)
|
87% |
9387
753.4 IPS |
|
|
Face Detection (SP)
|
100% |
4586
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
15843
188.3 IPS |
|
|
Face Detection (Q)
|
100% |
26889
319.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4494
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17575
135.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32611
253.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10152
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48706
62.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90578
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13356
493.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22444
831.2 IPS |
|
|
Text Classification (SP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1996
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2687
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4087
70.4 IPS |
