LENOVO 83HM
Geekbench AI Score
3036
Single Precision Score
1745
Half Precision Score
7830
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 04 2025 03:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1876
348.8 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.5 IPS |
|
|
Image Classification (Q)
|
100% |
4966
923.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4623
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2220
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
12981
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (Q)
|
88% |
5189
416.0 IPS |
|
|
Face Detection (SP)
|
100% |
5572
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
2436
28.9 IPS |
|
|
Face Detection (Q)
|
100% |
13549
161.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4756
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2566
19.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14342
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10108
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6490
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
36135
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7434
275.3 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4538
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2366
40.7 IPS |
