LENOVO 83E2
Geekbench AI Score
2692
Single Precision Score
7028
Half Precision Score
10829
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
4994
928.8 IPS |
|
|
Image Classification (Q)
|
100% |
6914
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2879
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4444
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
29103
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61852
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
4067
322.6 IPS |
|
|
Object Detection (Q)
|
89% |
6815
545.8 IPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
10645
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
22472
267.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5045
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15400
118.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
30100
234.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13243
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45729
58.8 IPS |
|
|
Style Transfer (Q)
|
98% |
80118
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10844
400.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17552
650.0 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.4 IPS |
|
|
Text Classification (HP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2489
42.9 IPS |
