LENOVO 83D2
Geekbench AI Score
2630
Single Precision Score
1100
Half Precision Score
2098
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | guxun |
| Upload Date | January 08 2025 07:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83D2 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
849
157.9 IPS |
|
|
Image Classification (HP)
|
0% |
0
573.6 IPS |
|
|
Image Classification (Q)
|
100% |
838
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1187
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12638
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16949
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11081
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
256.7 IPS |
|
|
Object Detection (Q)
|
86% |
870
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
7530
89.5 IPS |
|
|
Face Detection (Q)
|
97% |
1230
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
17877
138.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
4918
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34583
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46673
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27357
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5734
211.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7573
279.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3755
139.1 IPS |
|
|
Text Classification (SP)
|
86% |
617
835.1 IPS |
|
|
Text Classification (HP)
|
99% |
424
566.5 IPS |
|
|
Text Classification (Q)
|
84% |
416
565.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (Q)
|
70% |
669
12.6 IPS |
