LENOVO 83LT
Geekbench AI Score
21172
Single Precision Score
38743
Half Precision Score
16678
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | turncoat |
| Upload Date | November 11 2025 02:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83LT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8951
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15569
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
8173
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15592
252.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22939
371.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14341
233.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
117819
137.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
367954
429.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
106991
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
10760
853.5 IPS |
|
|
Object Detection (HP)
|
100% |
19334
1.53 KIPS |
|
|
Object Detection (Q)
|
83% |
9413
760.5 IPS |
|
|
Face Detection (SP)
|
100% |
27464
326.3 IPS |
|
|
Face Detection (HP)
|
100% |
46075
547.5 IPS |
|
|
Face Detection (Q)
|
97% |
24130
287.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
52005
400.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109499
843.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
41620
332.2 IPS |
|
|
Style Transfer (SP)
|
100% |
166434
214.0 IPS |
|
|
Style Transfer (HP)
|
100% |
554699
713.1 IPS |
|
|
Style Transfer (Q)
|
98% |
143860
185.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30070
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56276
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23805
881.5 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4590
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1939
36.4 IPS |
