LENOVO 83DJ
Geekbench AI Score
2891
Single Precision Score
1056
Half Precision Score
5117
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Dengeli |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2416
449.2 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
99% |
4769
889.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2720
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5187
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3401
3.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
17404
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
86% |
4698
377.6 IPS |
|
|
Face Detection (SP)
|
100% |
6084
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
7212
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6525
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1433
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12053
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9686
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7467
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
13970
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1880
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2587
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
1236
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.8 IPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
65% |
2387
48.0 IPS |
