LENOVO 83DJ
Geekbench AI Score
2299
Single Precision Score
8603
Half Precision Score
13078
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 04:07 PM |
| 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 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
1520
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
6222
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8742
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2942
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
26497
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65540
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
87% |
8360
670.9 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
14966
177.8 IPS |
|
|
Face Detection (Q)
|
100% |
28727
341.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3173
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17665
136.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
32289
251.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8591
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47625
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85074
109.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12726
469.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21120
782.2 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1778
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3506
60.4 IPS |
