LENOVO 83HM
Geekbench AI Score
2958
Single Precision Score
3000
Half Precision Score
7379
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 26 2024 01:20 PM |
| Views | 3 |
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 |
| 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% |
1903
353.9 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.1 IPS |
|
|
Image Classification (Q)
|
100% |
4972
924.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4162
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3383
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3379
3.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
12962
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (Q)
|
88% |
5015
402.0 IPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
5505
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
12451
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4697
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4742
36.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
13030
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10132
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10130
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36380
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7279
269.6 IPS |
|
|
Text Classification (SP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3458
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2398
41.3 IPS |
