LENOVO 83HM001KJP LENOVO 83HM
Geekbench AI Score
2925
Single Precision Score
2906
Half Precision Score
7247
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fuchupc |
| Upload Date | October 13 2024 08:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1937
360.1 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.3 IPS |
|
|
Image Classification (Q)
|
100% |
5018
933.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4087
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3129
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
11848
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (Q)
|
88% |
5013
401.8 IPS |
|
|
Face Detection (SP)
|
100% |
5307
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
5354
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
12685
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4615
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4545
35.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12991
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9713
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9616
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33324
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7412
274.5 IPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3477
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2318
39.9 IPS |
