LENOVO 82WS
Geekbench AI Score
22804
Single Precision Score
37381
Half Precision Score
17371
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 10:59 PM |
| Views | 3 |
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 | Legion Quiet Mode |
| 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% |
9131
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
14946
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
8405
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16818
272.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23916
387.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15433
251.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
149022
173.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
320914
374.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
138290
161.9 IPS |
|
|
Object Detection (SP)
|
100% |
12517
992.9 IPS |
|
|
Object Detection (HP)
|
100% |
18953
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
10354
828.9 IPS |
|
|
Face Detection (SP)
|
100% |
24563
291.9 IPS |
|
|
Face Detection (HP)
|
100% |
38501
457.5 IPS |
|
|
Face Detection (Q)
|
97% |
20487
244.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50405
388.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
113053
873.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
33978
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
299642
385.2 IPS |
|
|
Style Transfer (HP)
|
100% |
624944
803.4 IPS |
|
|
Style Transfer (Q)
|
98% |
250667
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34689
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54015
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24214
896.6 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3652
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1773
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4567
78.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1799
40.1 IPS |
