LENOVO 83HM
Geekbench AI Score
2393
Single Precision Score
1249
Half Precision Score
4804
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 01:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
99% |
3936
734.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2369
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3058
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2587
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11729
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
3900
313.4 IPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
6618
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4342
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1889
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9970
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7728
9.93 IPS |
|
|
Style Transfer (HP)
|
100% |
6364
8.18 IPS |
|
|
Style Transfer (Q)
|
98% |
16830
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
687
916.7 IPS |
|
|
Text Classification (Q)
|
97% |
1524
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2597
52.2 IPS |
