LENOVO 83DN
Geekbench AI Score
7891
Single Precision Score
13533
Half Precision Score
18760
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 22 2025 06:55 PM |
| Views | 12 |
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 83DN |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6051
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8161
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
9103
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11997
194.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16521
267.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25864
30.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23389
27.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
52540
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
5840
463.3 IPS |
|
|
Object Detection (HP)
|
100% |
8606
682.6 IPS |
|
|
Object Detection (Q)
|
88% |
11669
935.1 IPS |
|
|
Face Detection (SP)
|
100% |
10918
129.7 IPS |
|
|
Face Detection (HP)
|
100% |
21642
257.2 IPS |
|
|
Face Detection (Q)
|
100% |
33548
398.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21497
165.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
36858
284.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
40699
316.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34815
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
76768
98.7 IPS |
|
|
Style Transfer (Q)
|
98% |
185558
239.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10531
388.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16888
623.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23943
886.7 IPS |
|
|
Text Classification (SP)
|
71% |
1728
2.50 KIPS |
|
|
Text Classification (HP)
|
71% |
2808
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2732
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3602
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3535
60.9 IPS |
