LENOVO 21MMS6XP19
Geekbench AI Score
2097
Single Precision Score
7167
Half Precision Score
10684
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21MMS6XP19 |
| Motherboard | LENOVO 21MMS6XP19 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
5563
1.03 KIPS |
|
|
Image Classification (Q)
|
56% |
5169
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
28651
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
61803
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
4120
326.8 IPS |
|
|
Object Detection (Q)
|
87% |
7243
581.3 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
10554
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
17992
213.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3780
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12321
94.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23401
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8333
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35924
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67086
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11252
415.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20661
765.2 IPS |
|
|
Text Classification (SP)
|
100% |
555
741.0 IPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1898
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2507
43.2 IPS |
