LENOVO 83E2
Geekbench AI Score
3270
Single Precision Score
1274
Half Precision Score
5538
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 12:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2593
482.3 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
5190
968.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2703
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5233
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
19775
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
5418
435.5 IPS |
|
|
Face Detection (SP)
|
100% |
6286
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
1283
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
6721
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6521
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1804
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12679
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13208
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9260
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18306
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3309
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.7 IPS |
|
|
Text Classification (Q)
|
97% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1830
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2653
53.3 IPS |
