LENOVO 21QDS0EB00
Geekbench AI Score
2839
Single Precision Score
9183
Half Precision Score
13928
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 06:19 AM |
| Views | 3 |
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% |
1469
273.2 IPS |
|
|
Image Classification (HP)
|
100% |
6409
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8908
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3646
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3749
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
32242
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
69340
81.2 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
5723
453.9 IPS |
|
|
Object Detection (Q)
|
87% |
9263
743.4 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
15485
184.0 IPS |
|
|
Face Detection (Q)
|
100% |
26581
315.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4537
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17658
136.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
32419
252.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10314
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48909
62.9 IPS |
|
|
Style Transfer (Q)
|
98% |
89788
115.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13244
489.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22297
825.8 IPS |
|
|
Text Classification (SP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1899
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4022
69.3 IPS |
