LENOVO 83E2
Geekbench AI Score
3191
Single Precision Score
1287
Half Precision Score
5739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 28 2025 06:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2472
459.8 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
4953
923.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3054
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5399
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3441
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
18866
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
4898
393.7 IPS |
|
|
Face Detection (SP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
8155
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6922
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1846
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12951
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12517
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8389
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19197
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3607
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
552
736.9 IPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2612
52.5 IPS |
