LENOVO 82WM
Geekbench AI Score
16462
Single Precision Score
28364
Half Precision Score
12797
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Thermit |
| Upload Date | September 02 2024 01:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 82WM |
| 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% |
6663
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11618
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
5918
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11288
183.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15956
258.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10605
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
79623
92.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
234111
273.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
70721
82.8 IPS |
|
|
Object Detection (SP)
|
100% |
8216
651.7 IPS |
|
|
Object Detection (HP)
|
100% |
14881
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
7329
586.6 IPS |
|
|
Face Detection (SP)
|
100% |
18510
219.9 IPS |
|
|
Face Detection (HP)
|
100% |
29349
348.7 IPS |
|
|
Face Detection (Q)
|
97% |
15402
183.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36098
278.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72000
554.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
29654
241.0 IPS |
|
|
Style Transfer (SP)
|
100% |
137053
176.2 IPS |
|
|
Style Transfer (HP)
|
100% |
351291
451.6 IPS |
|
|
Style Transfer (Q)
|
98% |
123606
159.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27854
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47031
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20499
759.1 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2011
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1556
34.7 IPS |
