LENOVO 83AX
Geekbench AI Score
6112
Single Precision Score
12332
Half Precision Score
4325
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83AX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
732
136.1 IPS |
|
|
Image Classification (HP)
|
99% |
1996
372.2 IPS |
|
|
Image Classification (Q)
|
99% |
628
117.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
33214
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
108906
127.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27396
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3989
316.4 IPS |
|
|
Object Detection (HP)
|
100% |
8506
674.7 IPS |
|
|
Object Detection (Q)
|
84% |
3313
267.2 IPS |
|
|
Face Detection (SP)
|
100% |
7932
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
13990
166.2 IPS |
|
|
Face Detection (Q)
|
97% |
6693
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16115
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39618
305.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12660
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59352
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
167551
215.4 IPS |
|
|
Style Transfer (Q)
|
98% |
47145
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11342
418.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21849
806.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7097
262.8 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1061
19.9 IPS |
