LENOVO 21KV0015US
Geekbench AI Score
8015
Single Precision Score
12211
Half Precision Score
18259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | January 12 2025 10:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| 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% |
5407
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
7627
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
9147
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4554
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10997
178.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16051
260.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23356
27.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
22521
26.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
71666
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
5066
401.9 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
88% |
11069
887.1 IPS |
|
|
Face Detection (SP)
|
100% |
9588
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
19128
227.3 IPS |
|
|
Face Detection (Q)
|
100% |
31266
371.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19270
148.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
32956
254.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
38012
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57247
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70310
90.4 IPS |
|
|
Style Transfer (Q)
|
98% |
170607
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8925
329.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14701
542.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22600
837.0 IPS |
|
|
Text Classification (SP)
|
71% |
1642
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
2452
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2572
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3025
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3002
51.7 IPS |
