LENOVO 82K2
Geekbench AI Score
6301
Single Precision Score
4982
Half Precision Score
4586
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | October 31 2024 09:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2557
475.5 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (Q)
|
100% |
2114
393.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3624
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25780
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16325
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
22638
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2941
233.3 IPS |
|
|
Object Detection (HP)
|
100% |
2778
220.4 IPS |
|
|
Object Detection (Q)
|
89% |
2310
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (Q)
|
97% |
5289
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14304
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11120
85.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
10760
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45964
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30880
39.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39339
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9467
349.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7275
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6365
235.7 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2055
35.5 IPS |
|
|
Machine Translation (Q)
|
60% |
835
18.6 IPS |
