LENOVO 21G2000DUK
Geekbench AI Score
1338
Single Precision Score
596
Half Precision Score
2662
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21G2000DUK |
| Motherboard | LENOVO 21G2000DUK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
99% |
2496
465.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1955
2.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
8737
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
86% |
1373
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (Q)
|
97% |
3150
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2329
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
842
6.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
5631
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6098
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
5108
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
10472
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2214
82.0 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.7 IPS |
|
|
Text Classification (HP)
|
100% |
359
479.4 IPS |
|
|
Text Classification (Q)
|
97% |
750
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
65% |
1289
25.9 IPS |
