LENOVO 83D2
Geekbench AI Score
8859
Single Precision Score
14091
Half Precision Score
20661
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 05:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6525
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
9376
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
10925
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5482
88.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14053
227.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20978
340.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23060
26.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24006
28.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
75512
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
5823
461.8 IPS |
|
|
Object Detection (HP)
|
100% |
9799
777.3 IPS |
|
|
Object Detection (Q)
|
88% |
13371
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
10949
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
21243
252.4 IPS |
|
|
Face Detection (Q)
|
100% |
32398
385.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20490
157.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
36103
279.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
42508
330.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55108
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
76610
98.5 IPS |
|
|
Style Transfer (Q)
|
98% |
182202
235.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9690
357.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16454
607.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24303
900.0 IPS |
|
|
Text Classification (SP)
|
71% |
1724
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
2752
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2712
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3744
64.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3705
63.8 IPS |
