LENOVO 83HM
Geekbench AI Score
3035
Single Precision Score
1749
Half Precision Score
7768
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 01:21 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% |
1915
356.1 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
100% |
5007
931.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4643
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
12898
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (Q)
|
88% |
5110
409.7 IPS |
|
|
Face Detection (SP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
2436
28.9 IPS |
|
|
Face Detection (Q)
|
100% |
13358
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4663
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
13787
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9994
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6492
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
35964
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7520
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2301
39.6 IPS |
