LENOVO 83DG
Geekbench AI Score
17975
Single Precision Score
28211
Half Precision Score
14104
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Akshat_Pal |
| Upload Date | December 05 2025 03:39 AM |
| Views | 2 |
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% |
6689
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11597
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
5615
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12769
207.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16704
270.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10778
175.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
123491
144.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
272337
317.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106319
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
8116
643.7 IPS |
|
|
Object Detection (HP)
|
100% |
13064
1.04 KIPS |
|
|
Object Detection (Q)
|
85% |
7163
576.7 IPS |
|
|
Face Detection (SP)
|
100% |
19433
230.9 IPS |
|
|
Face Detection (HP)
|
100% |
26506
315.0 IPS |
|
|
Face Detection (Q)
|
97% |
17398
207.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45014
346.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75960
585.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
40146
320.8 IPS |
|
|
Style Transfer (SP)
|
100% |
191471
246.1 IPS |
|
|
Style Transfer (HP)
|
100% |
383983
493.6 IPS |
|
|
Style Transfer (Q)
|
98% |
161876
208.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27468
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47116
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21573
798.8 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3470
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1614
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3666
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1717
32.2 IPS |
