LENOVO 83DL
Geekbench AI Score
2106
Single Precision Score
919
Half Precision Score
4799
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Allen_Bell |
| Upload Date | October 16 2025 11:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
4115
767.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5474
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3401
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1752
2.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
12514
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
86% |
3825
307.4 IPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
6564
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4527
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
10023
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6738
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
4675
6.01 IPS |
|
|
Style Transfer (Q)
|
98% |
12573
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3458
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
571
762.6 IPS |
|
|
Text Classification (Q)
|
97% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.09 IPS |
|
|
Machine Translation (Q)
|
65% |
1847
37.1 IPS |
