LENOVO 83DX
Geekbench AI Score
16199
Single Precision Score
27785
Half Precision Score
12792
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 06:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6738
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
11759
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6176
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11178
181.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15205
246.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10179
165.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
78318
91.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
231644
270.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71322
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
8156
646.9 IPS |
|
|
Object Detection (HP)
|
100% |
15088
1.20 KIPS |
|
|
Object Detection (Q)
|
84% |
7142
576.0 IPS |
|
|
Face Detection (SP)
|
100% |
19254
228.8 IPS |
|
|
Face Detection (HP)
|
100% |
30046
357.0 IPS |
|
|
Face Detection (Q)
|
97% |
17297
206.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36302
279.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75817
584.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
30293
242.3 IPS |
|
|
Style Transfer (SP)
|
100% |
133502
171.6 IPS |
|
|
Style Transfer (HP)
|
100% |
344601
443.0 IPS |
|
|
Style Transfer (Q)
|
98% |
122369
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26571
981.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43821
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19513
722.6 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3405
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1771
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1654
31.0 IPS |
