LENOVO 83HM
Geekbench AI Score
3111
Single Precision Score
18123
Half Precision Score
26285
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Quokka |
| Upload Date | February 09 2025 08:11 AM |
| Views | 2 |
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 | 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
10529
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
15311
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11167
181.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17286
280.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
97761
114.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
189406
221.9 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
13374
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
17612
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
24938
296.3 IPS |
|
|
Face Detection (Q)
|
100% |
48232
573.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
63076
486.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
92399
719.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10124
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
189273
243.3 IPS |
|
|
Style Transfer (Q)
|
98% |
245549
316.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17409
642.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29603
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1969
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2796
48.2 IPS |
