Arrow OpenVINO NPU LENOVO 21Q1S0M501
Geekbench AI Score
2923
Single Precision Score
9107
Half Precision Score
13897
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zokkoz |
| Upload Date | September 11 2025 01:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21Q1S0M501 |
| Motherboard | LENOVO 21Q1S0M501 |
| 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
6320
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8654
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3703
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
32136
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
69926
81.9 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
5746
455.8 IPS |
|
|
Object Detection (Q)
|
87% |
9140
733.5 IPS |
|
|
Face Detection (SP)
|
100% |
4893
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
15431
183.4 IPS |
|
|
Face Detection (Q)
|
100% |
26334
312.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4809
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18060
139.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34500
268.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10495
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51658
66.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94400
121.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12693
468.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22068
817.3 IPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3955
68.1 IPS |
