LENOVO 83D4
Geekbench AI Score
7842
Single Precision Score
12087
Half Precision Score
18027
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 06:06 PM |
| Views | 1 |
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 83D4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Rovnovha |
| 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% |
5713
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8104
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
9543
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11994
194.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16789
272.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23775
27.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22523
26.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
44922
52.6 IPS |
|
|
Object Detection (SP)
|
100% |
5254
416.7 IPS |
|
|
Object Detection (HP)
|
100% |
8265
655.6 IPS |
|
|
Object Detection (Q)
|
88% |
11377
911.7 IPS |
|
|
Face Detection (SP)
|
100% |
10569
125.6 IPS |
|
|
Face Detection (HP)
|
100% |
21201
251.9 IPS |
|
|
Face Detection (Q)
|
100% |
32163
382.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20518
158.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
34604
267.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
40805
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31060
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39698
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
178785
230.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9461
349.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15473
571.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23765
880.1 IPS |
|
|
Text Classification (SP)
|
71% |
2092
3.03 KIPS |
|
|
Text Classification (HP)
|
71% |
2635
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2558
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3098
53.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3104
53.5 IPS |
