LENOVO 21KFS0DM01
Geekbench AI Score
1957
Single Precision Score
529
Half Precision Score
2774
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:20 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% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (Q)
|
99% |
2434
454.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1957
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3450
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
12012
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
88% |
1251
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
97% |
2804
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3848
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
5727
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7916
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5422
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
13539
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
469
626.1 IPS |
|
|
Text Classification (Q)
|
97% |
450
602.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1456
32.5 IPS |
