LENOVO 83HM
Geekbench AI Score
9541
Single Precision Score
21249
Half Precision Score
24335
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Quokka |
| Upload Date | February 09 2025 08:08 AM |
| Views | 2 |
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 | High performance |
| 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% |
5542
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
10254
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
12281
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8861
143.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19573
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22592
366.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22769
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
125823
146.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
238114
278.8 IPS |
|
|
Object Detection (SP)
|
100% |
5608
444.8 IPS |
|
|
Object Detection (HP)
|
100% |
10827
858.8 IPS |
|
|
Object Detection (Q)
|
88% |
11795
945.2 IPS |
|
|
Face Detection (SP)
|
100% |
13481
160.2 IPS |
|
|
Face Detection (HP)
|
100% |
29157
346.4 IPS |
|
|
Face Detection (Q)
|
100% |
36693
436.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22506
173.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47219
363.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
55875
434.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52253
67.2 IPS |
|
|
Style Transfer (HP)
|
100% |
152499
196.0 IPS |
|
|
Style Transfer (Q)
|
98% |
165870
213.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9056
334.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23061
851.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24715
915.3 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2440
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4558
78.5 IPS |
