LENOVO 83DG
Geekbench AI Score
18734
Single Precision Score
29065
Half Precision Score
14583
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Akshat_Pal |
| Upload Date | December 08 2025 05:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6487
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
11872
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
5539
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13344
216.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17152
278.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11591
188.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
122014
142.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
308145
359.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
105513
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
9778
775.6 IPS |
|
|
Object Detection (HP)
|
100% |
13771
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7594
611.3 IPS |
|
|
Face Detection (SP)
|
100% |
21916
260.4 IPS |
|
|
Face Detection (HP)
|
100% |
28368
337.1 IPS |
|
|
Face Detection (Q)
|
97% |
18356
218.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47845
368.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87063
670.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
40774
325.9 IPS |
|
|
Style Transfer (SP)
|
100% |
185887
239.0 IPS |
|
|
Style Transfer (HP)
|
100% |
408258
524.8 IPS |
|
|
Style Transfer (Q)
|
98% |
171503
221.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33163
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48731
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24510
907.6 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3334
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3040
52.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1654
31.0 IPS |
