LENOVO 83E2
Geekbench AI Score
3406
Single Precision Score
7229
Half Precision Score
11113
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 08:59 PM |
| Views | 3 |
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 | Vyven |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1827
339.7 IPS |
|
|
Image Classification (HP)
|
100% |
5523
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
7382
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2960
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
29285
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62080
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
4295
340.7 IPS |
|
|
Object Detection (Q)
|
89% |
7458
597.3 IPS |
|
|
Face Detection (SP)
|
100% |
5851
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
11684
138.8 IPS |
|
|
Face Detection (Q)
|
100% |
22942
272.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5239
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15298
117.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
30101
234.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12530
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44408
57.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78942
101.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11093
409.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18036
667.9 IPS |
|
|
Text Classification (SP)
|
100% |
1906
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1150
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2513
43.3 IPS |
