LENOVO 83E2
Geekbench AI Score
8283
Single Precision Score
12478
Half Precision Score
18277
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 28 2025 06:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5524
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
8003
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9482
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5066
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11698
189.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15875
257.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23025
26.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
21973
25.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
74953
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
5228
414.7 IPS |
|
|
Object Detection (HP)
|
100% |
8150
646.5 IPS |
|
|
Object Detection (Q)
|
88% |
11022
883.2 IPS |
|
|
Face Detection (SP)
|
100% |
10614
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
21030
249.9 IPS |
|
|
Face Detection (Q)
|
100% |
31967
379.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20452
157.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
33822
261.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
39189
304.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53940
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
70383
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
171025
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9775
360.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14997
553.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21661
802.2 IPS |
|
|
Text Classification (SP)
|
71% |
1568
2.27 KIPS |
|
|
Text Classification (HP)
|
71% |
2436
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2404
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2985
51.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2999
51.7 IPS |
