LENOVO 21MMS6XP19
Geekbench AI Score
1815
Single Precision Score
842
Half Precision Score
3031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
99% |
2433
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2263
2.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
88% |
1242
99.6 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
3011
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3903
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1225
9.44 IPS |
|
|
Depth Estimation (Q)
|
77% |
4934
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6381
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3865
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
11904
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2394
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.6 IPS |
|
|
Text Classification (Q)
|
97% |
1198
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
60% |
1412
31.5 IPS |
