LENOVO 82WS
Geekbench AI Score
28841
Single Precision Score
42075
Half Precision Score
21871
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 09:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WS |
| Motherboard | LENOVO INVALID |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10966
2.04 KIPS |
|
|
Image Classification (HP)
|
99% |
15512
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
9392
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19192
311.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24319
394.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17782
289.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
216122
252.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
425643
496.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
193943
227.1 IPS |
|
|
Object Detection (SP)
|
100% |
13909
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
19484
1.55 KIPS |
|
|
Object Detection (Q)
|
89% |
11643
932.1 IPS |
|
|
Face Detection (SP)
|
100% |
38188
453.8 IPS |
|
|
Face Detection (HP)
|
100% |
48744
579.2 IPS |
|
|
Face Detection (Q)
|
97% |
31445
374.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
66249
510.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
128238
990.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
50558
407.3 IPS |
|
|
Style Transfer (SP)
|
100% |
331544
426.2 IPS |
|
|
Style Transfer (HP)
|
100% |
765422
984.0 IPS |
|
|
Style Transfer (Q)
|
98% |
294910
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47775
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61595
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35003
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1989
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4765
82.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2035
45.4 IPS |
