LENOVO 83DG
Geekbench AI Score
19505
Single Precision Score
31306
Half Precision Score
15277
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Sn0w0nS |
| Upload Date | March 15 2025 04:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7114
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
13576
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
7386
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12044
195.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14601
236.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10899
177.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
123944
144.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
290813
339.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
106490
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
9232
732.3 IPS |
|
|
Object Detection (HP)
|
100% |
15673
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
8156
656.6 IPS |
|
|
Face Detection (SP)
|
100% |
21650
257.2 IPS |
|
|
Face Detection (HP)
|
100% |
31593
375.4 IPS |
|
|
Face Detection (Q)
|
97% |
19158
228.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47824
368.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88947
685.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
38203
305.3 IPS |
|
|
Style Transfer (SP)
|
100% |
179842
231.2 IPS |
|
|
Style Transfer (HP)
|
100% |
436669
561.3 IPS |
|
|
Style Transfer (Q)
|
98% |
168913
217.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37449
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53606
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24600
910.9 IPS |
|
|
Text Classification (SP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4534
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1930
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3254
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3356
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1688
31.7 IPS |
