LENOVO 82WS
Geekbench AI Score
3643
Single Precision Score
1575
Half Precision Score
4656
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 09:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| 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% |
1647
306.3 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.5 IPS |
|
|
Image Classification (Q)
|
99% |
4258
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3033
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11399
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7986
9.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
37121
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
2126
168.6 IPS |
|
|
Object Detection (HP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
88% |
1938
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
4980
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2429
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9060
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20820
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32687
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2456
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
648
864.6 IPS |
|
|
Text Classification (Q)
|
97% |
401
536.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2485
55.4 IPS |
