LENOVO 21MA000PMX
Geekbench AI Score
660
Single Precision Score
345
Half Precision Score
1342
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 06:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA000PMX |
| Motherboard | LENOVO 21MA000PMX |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
558
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
99% |
1460
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1216
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
904
1.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
3024
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
86% |
1170
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
2109
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1155
8.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
581
4.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
2742
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2002
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2647
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3335
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.4 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.6 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (Q)
|
65% |
704
14.1 IPS |
