LENOVO 21KV0028PB
Geekbench AI Score
2244
Single Precision Score
912
Half Precision Score
3210
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 02:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0028PB |
| Motherboard | LENOVO 21KV0028PB |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
99% |
2662
496.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3794
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3109
3.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
13253
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
86% |
2925
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
5134
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
5066
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5049
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7688
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10193
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6913
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
15491
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2552
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.7 IPS |
|
|
Text Classification (Q)
|
97% |
329
441.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (Q)
|
65% |
1524
30.6 IPS |
