LENOVO 83JC
Geekbench AI Score
13320
Single Precision Score
21902
Half Precision Score
10766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thatmarcel |
| Upload Date | January 11 2025 12:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6092
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9181
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
5558
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8517
138.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12270
198.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6665
108.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
67012
78.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
187777
219.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
57744
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
6967
552.6 IPS |
|
|
Object Detection (HP)
|
100% |
12674
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
6344
511.7 IPS |
|
|
Face Detection (SP)
|
100% |
14625
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
20511
243.7 IPS |
|
|
Face Detection (Q)
|
97% |
13444
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32324
249.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
68607
528.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
25197
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
108454
139.4 IPS |
|
|
Style Transfer (HP)
|
100% |
283375
364.3 IPS |
|
|
Style Transfer (Q)
|
98% |
115584
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20856
770.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33691
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16867
624.6 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1512
28.4 IPS |
