LENOVO 83LY
Geekbench AI Score
17072
Single Precision Score
35866
Half Precision Score
13675
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NubbyChan |
| Upload Date | September 18 2025 06:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6138
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
14912
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
6750
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13646
221.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22983
372.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12227
198.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
77746
90.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
267936
312.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
75041
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
9070
719.4 IPS |
|
|
Object Detection (HP)
|
100% |
18632
1.48 KIPS |
|
|
Object Detection (Q)
|
83% |
7560
610.8 IPS |
|
|
Face Detection (SP)
|
100% |
19930
236.8 IPS |
|
|
Face Detection (HP)
|
100% |
39771
472.6 IPS |
|
|
Face Detection (Q)
|
97% |
19194
228.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37230
286.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88361
680.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30594
244.2 IPS |
|
|
Style Transfer (SP)
|
100% |
128175
164.8 IPS |
|
|
Style Transfer (HP)
|
100% |
507340
652.2 IPS |
|
|
Style Transfer (Q)
|
98% |
109427
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24448
902.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52062
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19219
711.7 IPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2111
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4618
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5503
94.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1875
35.2 IPS |
