LENOVO 83HM
Geekbench AI Score
3041
Single Precision Score
18470
Half Precision Score
28045
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 08:27 AM |
| Views | 3 |
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% |
1944
361.6 IPS |
|
|
Image Classification (HP)
|
100% |
11720
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
17207
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10978
178.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13214
214.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
89091
104.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
186392
218.3 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
13356
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
17889
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
17593
209.0 IPS |
|
|
Face Detection (Q)
|
100% |
46803
556.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4675
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
66795
514.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
100273
780.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10126
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
196392
252.5 IPS |
|
|
Style Transfer (Q)
|
98% |
288875
372.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23467
866.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46652
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2739
47.2 IPS |
