LENOVO 21KV0015US
Geekbench AI Score
14199
Single Precision Score
22793
Half Precision Score
11938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | August 28 2025 01:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| 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% |
6326
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10217
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
5830
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10149
164.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12215
198.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9429
153.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
71086
82.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
211243
246.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63208
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
7158
567.8 IPS |
|
|
Object Detection (HP)
|
100% |
10920
866.2 IPS |
|
|
Object Detection (Q)
|
84% |
6374
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
17398
206.7 IPS |
|
|
Face Detection (HP)
|
100% |
25621
304.4 IPS |
|
|
Face Detection (Q)
|
97% |
16075
191.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
35087
270.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67940
523.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
29979
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
126824
163.0 IPS |
|
|
Style Transfer (HP)
|
100% |
296867
381.6 IPS |
|
|
Style Transfer (Q)
|
98% |
111638
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23897
882.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38866
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18768
694.9 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2607
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1652
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2511
43.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1592
29.9 IPS |
