LENOVO 83HM
Geekbench AI Score
7979
Single Precision Score
20784
Half Precision Score
24002
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 26 2024 01:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3760
699.2 IPS |
|
|
Image Classification (HP)
|
100% |
11572
2.15 KIPS |
|
|
Image Classification (Q)
|
100% |
13225
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7822
126.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17446
282.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19868
322.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20427
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107957
126.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
207859
243.4 IPS |
|
|
Object Detection (SP)
|
100% |
3539
280.7 IPS |
|
|
Object Detection (HP)
|
100% |
11238
891.4 IPS |
|
|
Object Detection (Q)
|
88% |
11404
913.9 IPS |
|
|
Face Detection (SP)
|
100% |
11215
133.3 IPS |
|
|
Face Detection (HP)
|
100% |
27133
322.4 IPS |
|
|
Face Detection (Q)
|
100% |
31111
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17997
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43077
331.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
51036
396.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48463
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
133156
171.2 IPS |
|
|
Style Transfer (Q)
|
98% |
159451
205.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8583
316.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21961
810.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25134
930.8 IPS |
|
|
Text Classification (SP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3482
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4342
74.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4599
79.2 IPS |
