LENOVO 83D2
Geekbench AI Score
8668
Single Precision Score
14153
Half Precision Score
20954
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 05:57 PM |
| Views | 5 |
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% |
6582
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
9459
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
10920
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5499
89.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13983
226.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20165
326.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21573
25.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23194
27.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
71472
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
5729
454.4 IPS |
|
|
Object Detection (HP)
|
100% |
9347
741.4 IPS |
|
|
Object Detection (Q)
|
88% |
14060
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
10967
130.3 IPS |
|
|
Face Detection (HP)
|
100% |
22821
271.2 IPS |
|
|
Face Detection (Q)
|
100% |
35840
425.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20174
155.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
35650
275.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
41420
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54068
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
74639
96.0 IPS |
|
|
Style Transfer (Q)
|
98% |
177500
228.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9223
340.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16146
596.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24602
911.1 IPS |
|
|
Text Classification (SP)
|
71% |
1711
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
2709
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2690
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4237
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4230
73.1 IPS |
