LENOVO 83D2
Geekbench AI Score
2832
Single Precision Score
8855
Half Precision Score
13497
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 02:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
6271
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8824
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3134
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3887
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
30759
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
66158
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
5433
430.9 IPS |
|
|
Object Detection (Q)
|
87% |
8861
711.2 IPS |
|
|
Face Detection (SP)
|
100% |
5054
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
15374
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
28989
344.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4540
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17600
135.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32065
249.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10754
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
47785
61.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88646
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12579
464.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21297
788.7 IPS |
|
|
Text Classification (SP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1820
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3878
66.8 IPS |
