LENOVO 83JC
Geekbench AI Score
14856
Single Precision Score
25461
Half Precision Score
11787
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5916
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10631
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
5426
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10518
170.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15264
247.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9712
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71816
83.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
220743
257.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
62052
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
7553
599.1 IPS |
|
|
Object Detection (HP)
|
100% |
12316
976.9 IPS |
|
|
Object Detection (Q)
|
84% |
6746
544.1 IPS |
|
|
Face Detection (SP)
|
100% |
16491
195.9 IPS |
|
|
Face Detection (HP)
|
100% |
28096
333.8 IPS |
|
|
Face Detection (Q)
|
97% |
14984
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34125
262.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
67709
521.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
28364
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
117029
150.4 IPS |
|
|
Style Transfer (HP)
|
100% |
287954
370.2 IPS |
|
|
Style Transfer (Q)
|
98% |
104804
135.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24666
910.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41505
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17606
651.9 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
99% |
3052
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1742
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1719
32.2 IPS |
