LENOVO 21KFS0DM01
Geekbench AI Score
1939
Single Precision Score
498
Half Precision Score
2613
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 01:53 PM |
| Views | 1 |
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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
1985
370.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1473
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3113
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2066
2.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
11541
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
88% |
1131
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (Q)
|
97% |
3166
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4078
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
6148
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7194
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
5662
7.28 IPS |
|
|
Style Transfer (Q)
|
98% |
13983
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2957
109.5 IPS |
|
|
Text Classification (SP)
|
100% |
1333
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.5 IPS |
|
|
Text Classification (Q)
|
97% |
434
580.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
60% |
1114
24.8 IPS |
