LENOVO 83DG
Geekbench AI Score
18391
Single Precision Score
29005
Half Precision Score
14705
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Akshat_Pal |
| Upload Date | December 08 2025 05:25 AM |
| Views | 4 |
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% |
7025
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
10889
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
6545
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11456
185.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15135
245.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10909
177.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
127492
148.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
287872
335.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106662
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
8387
665.3 IPS |
|
|
Object Detection (HP)
|
100% |
14603
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
8074
649.9 IPS |
|
|
Face Detection (SP)
|
100% |
20719
246.2 IPS |
|
|
Face Detection (HP)
|
100% |
29893
355.2 IPS |
|
|
Face Detection (Q)
|
97% |
20241
241.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48567
374.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85312
657.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
39295
314.0 IPS |
|
|
Style Transfer (SP)
|
100% |
186742
240.1 IPS |
|
|
Style Transfer (HP)
|
100% |
434134
558.1 IPS |
|
|
Style Transfer (Q)
|
98% |
161194
207.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31520
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47498
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23442
868.0 IPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3581
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1601
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3231
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1598
30.0 IPS |
