LENOVO 21MMS6XP19
Geekbench AI Score
1887
Single Precision Score
851
Half Precision Score
3122
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:18 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% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
99% |
2486
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2483
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
12075
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
88% |
1324
106.2 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
3200
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3933
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1289
9.93 IPS |
|
|
Depth Estimation (Q)
|
77% |
5383
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7638
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4334
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
11986
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2491
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
431
574.9 IPS |
|
|
Text Classification (Q)
|
97% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
60% |
1531
34.2 IPS |
