LENOVO 83HM
Geekbench AI Score
9163
Single Precision Score
22845
Half Precision Score
26057
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 04 2025 03:15 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
6800
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
12584
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15075
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7363
119.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13838
224.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15589
252.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22992
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
119178
139.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
205815
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
5392
427.7 IPS |
|
|
Object Detection (HP)
|
100% |
12293
975.1 IPS |
|
|
Object Detection (Q)
|
88% |
13165
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
13602
161.6 IPS |
|
|
Face Detection (HP)
|
100% |
29974
356.2 IPS |
|
|
Face Detection (Q)
|
100% |
39825
473.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22512
173.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51662
398.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
59817
465.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52597
67.6 IPS |
|
|
Style Transfer (HP)
|
100% |
156655
201.4 IPS |
|
|
Style Transfer (Q)
|
98% |
174201
224.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9569
353.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26675
985.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29428
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3612
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5139
88.5 IPS |
