LENOVO 83HM
Geekbench AI Score
2910
Single Precision Score
17243
Half Precision Score
24374
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
10319
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
14341
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4486
72.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6745
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3284
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
94165
109.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
192755
225.8 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
12728
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
16844
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
5262
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
22894
272.0 IPS |
|
|
Face Detection (Q)
|
100% |
44252
525.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63839
491.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
102194
795.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9953
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
207043
266.2 IPS |
|
|
Style Transfer (Q)
|
98% |
296797
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29932
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38387
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2249
38.7 IPS |
