LENOVO 21KV0015US
Geekbench AI Score
1173
Single Precision Score
571
Half Precision Score
2426
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | August 28 2025 01:01 AM |
| Views | 4 |
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% |
897
166.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
99% |
2019
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
7230
8.48 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
86% |
1896
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.10 IPS |
|
|
Face Detection (Q)
|
97% |
2868
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2208
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
775
5.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
4852
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4202
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3309
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
8454
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1639
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.7 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.7 IPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
65% |
1234
24.8 IPS |
