LENOVO 83E2
Geekbench AI Score
2868
Single Precision Score
8102
Half Precision Score
11992
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 28 2025 06:28 AM |
| Views | 8 |
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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
5374
999.5 IPS |
|
|
Image Classification (Q)
|
100% |
7202
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
29453
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
62746
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
4891
388.0 IPS |
|
|
Object Detection (Q)
|
87% |
7416
595.2 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
13560
161.1 IPS |
|
|
Face Detection (Q)
|
100% |
21465
255.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4239
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16998
131.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31196
242.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11351
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
47281
60.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83969
108.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11797
435.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20129
745.4 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2882
49.6 IPS |
