LENOVO 83E2
Geekbench AI Score
2936
Single Precision Score
1158
Half Precision Score
2344
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | September 15 2024 01:03 PM |
| Views | 7 |
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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
0% |
0
629.3 IPS |
|
|
Image Classification (Q)
|
99% |
1018
189.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6790
110.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1374
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14802
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19978
23.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13025
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
305.1 IPS |
|
|
Object Detection (Q)
|
89% |
1050
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
7804
92.7 IPS |
|
|
Face Detection (Q)
|
97% |
1214
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7449
57.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
17956
138.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
6025
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43479
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
61966
79.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33677
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6341
234.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6755
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4521
167.4 IPS |
|
|
Text Classification (SP)
|
86% |
469
634.1 IPS |
|
|
Text Classification (HP)
|
99% |
464
619.1 IPS |
|
|
Text Classification (Q)
|
83% |
385
523.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (Q)
|
60% |
613
13.7 IPS |
