LENOVO 21G3S0AR00
Geekbench AI Score
2775
Single Precision Score
1163
Half Precision Score
5223
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HemetUSD-Bench |
| Upload Date | June 27 2025 04:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.2 IPS |
|
|
Image Classification (Q)
|
99% |
4657
868.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2730
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4470
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
16004
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.3 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
4408
354.3 IPS |
|
|
Face Detection (SP)
|
100% |
5333
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
7550
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1772
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11334
90.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10489
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7501
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
17044
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3074
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (Q)
|
97% |
1493
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2521
50.7 IPS |
