LENOVO 83DH
Geekbench AI Score
16701
Single Precision Score
28622
Half Precision Score
13510
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | konra |
| Upload Date | September 13 2025 07:33 AM |
| Views | 7 |
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% |
6994
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
11859
2.21 KIPS |
|
|
Image Classification (Q)
|
99% |
6453
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12276
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17047
276.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11130
181.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
80887
94.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
243358
284.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71772
84.1 IPS |
|
|
Object Detection (SP)
|
100% |
8491
673.5 IPS |
|
|
Object Detection (HP)
|
100% |
15525
1.23 KIPS |
|
|
Object Detection (Q)
|
84% |
7411
597.7 IPS |
|
|
Face Detection (SP)
|
100% |
20771
246.8 IPS |
|
|
Face Detection (HP)
|
100% |
32118
381.6 IPS |
|
|
Face Detection (Q)
|
97% |
18622
222.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40922
315.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
82161
633.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
34304
274.4 IPS |
|
|
Style Transfer (SP)
|
100% |
129636
166.6 IPS |
|
|
Style Transfer (HP)
|
100% |
348170
447.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124355
160.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28289
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47234
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22034
815.9 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3440
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1852
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1636
30.7 IPS |
