LENOVO 83HM
Geekbench AI Score
3013
Single Precision Score
19545
Half Precision Score
27754
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 27 2025 04:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1881
349.9 IPS |
|
|
Image Classification (HP)
|
100% |
10845
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
15140
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11097
179.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17486
283.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
93710
109.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
191027
223.8 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
12920
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
17660
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
28159
334.6 IPS |
|
|
Face Detection (Q)
|
100% |
49189
584.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4734
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
65878
507.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
96661
752.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10077
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
196949
253.2 IPS |
|
|
Style Transfer (Q)
|
98% |
264606
341.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28037
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43487
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2728
47.0 IPS |
