LENOVO 83DH
Geekbench AI Score
17680
Single Precision Score
29052
Half Precision Score
14038
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Vedvm |
| Upload Date | August 04 2025 06:07 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DH |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7009
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
11597
2.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6418
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12451
201.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16970
275.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11299
183.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93272
108.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
253051
295.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
81033
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
8620
683.7 IPS |
|
|
Object Detection (HP)
|
100% |
15093
1.20 KIPS |
|
|
Object Detection (Q)
|
84% |
7636
615.9 IPS |
|
|
Face Detection (SP)
|
100% |
20804
247.2 IPS |
|
|
Face Detection (HP)
|
100% |
32129
381.8 IPS |
|
|
Face Detection (Q)
|
97% |
18701
223.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42370
326.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
79345
611.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34840
278.7 IPS |
|
|
Style Transfer (SP)
|
100% |
144056
185.2 IPS |
|
|
Style Transfer (HP)
|
100% |
352931
453.7 IPS |
|
|
Style Transfer (Q)
|
98% |
130228
167.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28377
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45845
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21642
801.4 IPS |
|
|
Text Classification (SP)
|
100% |
2993
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3433
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1927
36.1 IPS |
