LENOVO 83FD
Geekbench AI Score
20744
Single Precision Score
33049
Half Precision Score
15540
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | March 06 2025 11:17 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 (64-bit) |
| Model | LENOVO 83FD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8859
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
14099
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
7532
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12659
205.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15853
257.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11701
190.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
129054
150.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
323633
377.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
107283
125.6 IPS |
|
|
Object Detection (SP)
|
100% |
9927
787.4 IPS |
|
|
Object Detection (HP)
|
100% |
16199
1.28 KIPS |
|
|
Object Detection (Q)
|
88% |
8173
655.4 IPS |
|
|
Face Detection (SP)
|
100% |
20328
241.5 IPS |
|
|
Face Detection (HP)
|
100% |
32566
386.9 IPS |
|
|
Face Detection (Q)
|
97% |
16142
192.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
51718
398.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88545
682.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
40435
324.8 IPS |
|
|
Style Transfer (SP)
|
100% |
195347
251.1 IPS |
|
|
Style Transfer (HP)
|
100% |
470260
604.5 IPS |
|
|
Style Transfer (Q)
|
98% |
179089
230.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39989
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58038
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27782
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
4685
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2239
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3599
62.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1462
32.6 IPS |
