LENOVO 21KV0015US
Geekbench AI Score
2433
Single Precision Score
989
Half Precision Score
4552
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | January 12 2025 11:36 AM |
| Views | 10 |
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 21KV0015US |
| Motherboard | LENOVO 21KV0015US |
| Power Plan | Balanced |
| 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% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
99% |
4157
775.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2658
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3922
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
14264
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
86% |
3656
293.8 IPS |
|
|
Face Detection (SP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
6626
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4853
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
8798
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9048
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5346
6.87 IPS |
|
|
Style Transfer (Q)
|
98% |
15380
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2664
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
645
860.7 IPS |
|
|
Text Classification (Q)
|
97% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (Q)
|
65% |
1893
38.0 IPS |
