arrow openvino GPU LENOVO 21Q1S0M501
Geekbench AI Score
5832
Single Precision Score
8772
Half Precision Score
14089
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zokkoz |
| Upload Date | September 11 2025 01:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4071
757.1 IPS |
|
|
Image Classification (HP)
|
100% |
5751
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8032
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4403
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9152
148.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12186
197.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12572
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
11402
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37876
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
5049
400.5 IPS |
|
|
Object Detection (Q)
|
88% |
9668
774.8 IPS |
|
|
Face Detection (SP)
|
100% |
9456
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
16083
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
27156
322.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12505
96.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
21459
165.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26429
205.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30000
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
42286
54.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88292
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7909
292.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15013
556.0 IPS |
|
|
Text Classification (SP)
|
71% |
1467
2.12 KIPS |
|
|
Text Classification (HP)
|
71% |
2192
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2581
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3521
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3504
60.6 IPS |
