LENOVO 83E2
Geekbench AI Score
3361
Single Precision Score
6884
Half Precision Score
2557
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
4075
757.9 IPS |
|
|
Image Classification (Q)
|
99% |
1229
229.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7274
117.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14633
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19426
22.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
12761
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
4534
360.6 IPS |
|
|
Object Detection (Q)
|
89% |
1137
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
8776
104.3 IPS |
|
|
Face Detection (Q)
|
97% |
1274
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7864
60.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
20959
162.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
6425
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43933
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60549
77.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33612
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7197
265.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9098
335.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
184.3 IPS |
|
|
Text Classification (SP)
|
86% |
723
977.7 IPS |
|
|
Text Classification (HP)
|
99% |
641
855.7 IPS |
|
|
Text Classification (Q)
|
83% |
521
709.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
60% |
642
14.3 IPS |
