LENOVO 82WK
Geekbench AI Score
20439
Single Precision Score
32438
Half Precision Score
15894
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Seehund |
| Upload Date | January 03 2025 03:12 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| 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% |
8340
1.55 KIPS |
|
|
Image Classification (HP)
|
99% |
13980
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7559
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12489
202.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15580
252.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11268
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
127186
148.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
307619
358.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
108963
127.7 IPS |
|
|
Object Detection (SP)
|
100% |
9709
770.2 IPS |
|
|
Object Detection (HP)
|
100% |
15950
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
8585
691.1 IPS |
|
|
Face Detection (SP)
|
100% |
23181
275.4 IPS |
|
|
Face Detection (HP)
|
100% |
34945
415.2 IPS |
|
|
Face Detection (Q)
|
97% |
20792
247.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
46907
361.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88315
680.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38122
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
193977
249.4 IPS |
|
|
Style Transfer (HP)
|
100% |
460865
592.4 IPS |
|
|
Style Transfer (Q)
|
98% |
174098
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38610
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52591
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26258
972.3 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4473
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3608
62.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1805
33.9 IPS |
