LENOVO 21MMS0D401
Geekbench AI Score
2054
Single Precision Score
559
Half Precision Score
2957
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:49 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 21MMS0D401 |
| Motherboard | LENOVO 21MMS0D401 |
| 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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
134
25.0 IPS |
|
|
Image Classification (Q)
|
99% |
2663
496.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1994
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
12922
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
1451
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (Q)
|
97% |
2904
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4110
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
694
5.35 IPS |
|
|
Depth Estimation (Q)
|
76% |
6017
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8649
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5757
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
13913
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1640
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2858
105.8 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
474
632.6 IPS |
|
|
Text Classification (Q)
|
97% |
455
609.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
60% |
1628
36.3 IPS |
