LENOVO 21G2001FUS
Geekbench AI Score
938
Single Precision Score
412
Half Precision Score
1585
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | titlepower |
| Upload Date | April 03 2025 09:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21G2001FUS |
| Motherboard | LENOVO 21G2001FUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
99% |
1376
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1760
2.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
4977
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.56 IPS |
|
|
Object Detection (Q)
|
86% |
1026
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.14 IPS |
|
|
Face Detection (Q)
|
97% |
2828
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1792
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
607
4.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
3655
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4349
5.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3370
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6802
8.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1088
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.6 IPS |
|
|
Text Classification (HP)
|
100% |
189
251.6 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.9 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
65% |
640
12.9 IPS |
