LENOVO 21KFS0DM01
Geekbench AI Score
1805
Single Precision Score
426
Half Precision Score
2558
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:08 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% |
1178
219.1 IPS |
|
|
Image Classification (HP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (Q)
|
99% |
2262
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1870
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1646
1.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.4 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
88% |
1143
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
97% |
2655
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3748
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.35 IPS |
|
|
Depth Estimation (Q)
|
76% |
5079
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7319
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4424
5.69 IPS |
|
|
Style Transfer (Q)
|
98% |
12918
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2590
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1212
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
420
560.7 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1110
24.8 IPS |
