LENOVO 83DJ
Geekbench AI Score
2748
Single Precision Score
1038
Half Precision Score
4834
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | February 01 2025 11:00 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
2343
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
4541
847.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2936
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5140
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3431
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
16590
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
86% |
4634
372.4 IPS |
|
|
Face Detection (SP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
6186
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1275
9.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
10646
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9537
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6211
7.98 IPS |
|
|
Style Transfer (Q)
|
98% |
14239
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2682
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
641
855.5 IPS |
|
|
Text Classification (Q)
|
97% |
1279
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
65% |
2114
42.5 IPS |
