LENOVO 21KFS0DM01
Geekbench AI Score
1991
Single Precision Score
523
Half Precision Score
2854
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21KFS0DM01 |
| Motherboard | LENOVO 21KFS0DM01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
99% |
2277
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
2030
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2213
2.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
12400
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
88% |
1206
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.81 IPS |
|
|
Face Detection (Q)
|
97% |
3067
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
665
5.13 IPS |
|
|
Depth Estimation (Q)
|
76% |
6082
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8042
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5518
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
13629
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2743
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.0 IPS |
|
|
Text Classification (Q)
|
97% |
452
604.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
60% |
1648
36.8 IPS |
