LENOVO 21KV0015US
Geekbench AI Score
2401
Single Precision Score
7075
Half Precision Score
11000
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | January 12 2025 11:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
5328
990.9 IPS |
|
|
Image Classification (Q)
|
100% |
7611
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2919
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3364
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
28676
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
61166
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
4242
336.5 IPS |
|
|
Object Detection (Q)
|
89% |
7392
592.1 IPS |
|
|
Face Detection (SP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
11217
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
22366
265.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3476
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14863
114.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28931
225.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9331
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42762
55.0 IPS |
|
|
Style Transfer (Q)
|
98% |
76326
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10963
404.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18248
675.8 IPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2478
42.7 IPS |
