LENOVO 83HM
Geekbench AI Score
2999
Single Precision Score
18823
Half Precision Score
26729
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| 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% |
1848
343.6 IPS |
|
|
Image Classification (HP)
|
100% |
11296
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
14939
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10820
175.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13016
211.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3341
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
94632
110.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
191256
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
13469
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
17046
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
21400
254.3 IPS |
|
|
Face Detection (Q)
|
100% |
45092
535.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4647
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65439
504.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
94355
734.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9731
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
196081
252.1 IPS |
|
|
Style Transfer (Q)
|
98% |
268878
346.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24310
897.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46580
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2743
47.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2641
45.5 IPS |
