LENOVO 82WS
Geekbench AI Score
25771
Single Precision Score
42380
Half Precision Score
19963
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | h31nz3 |
| Upload Date | April 20 2026 06:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WS |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9825
1.83 KIPS |
|
|
Image Classification (HP)
|
99% |
15696
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8793
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20456
331.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28922
468.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17935
291.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
123339
143.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
403585
470.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
125293
146.8 IPS |
|
|
Object Detection (SP)
|
100% |
12739
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
21308
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
10850
873.4 IPS |
|
|
Face Detection (SP)
|
100% |
36425
432.8 IPS |
|
|
Face Detection (HP)
|
100% |
54536
648.0 IPS |
|
|
Face Detection (Q)
|
97% |
31128
371.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54488
419.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108389
837.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
43853
350.6 IPS |
|
|
Style Transfer (SP)
|
100% |
271784
349.4 IPS |
|
|
Style Transfer (HP)
|
100% |
691681
889.2 IPS |
|
|
Style Transfer (Q)
|
98% |
235619
303.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42770
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53950
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30288
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1959
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5503
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5473
94.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2458
46.1 IPS |
