LENOVO 21G3S0AR00
Geekbench AI Score
2626
Single Precision Score
7360
Half Precision Score
11513
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HemetUSD-Bench |
| Upload Date | June 27 2025 04:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | LENOVO 21G3S0AR00 |
| Motherboard | LENOVO 21G3S0AR00 |
| Power Plan | HUSD Power Policy - School Hours |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
5610
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7966
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3102
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
29345
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63028
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
4388
348.0 IPS |
|
|
Object Detection (Q)
|
89% |
7750
620.7 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
11371
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
23355
277.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3941
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14895
114.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28900
224.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12468
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43741
56.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78432
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11350
419.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19058
705.8 IPS |
|
|
Text Classification (SP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1965
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2869
49.4 IPS |
