LENOVO 21NVS02Y00
Geekbench AI Score
6643
Single Precision Score
13561
Half Precision Score
4587
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NVS02Y00 |
| Motherboard | LENOVO 21NVS02Y00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4236
787.9 IPS |
|
|
Image Classification (HP)
|
100% |
5858
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
2183
405.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6458
104.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12683
205.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4497
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17070
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
77692
90.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13938
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
4043
320.7 IPS |
|
|
Object Detection (HP)
|
100% |
8943
709.3 IPS |
|
|
Object Detection (Q)
|
88% |
3521
282.4 IPS |
|
|
Face Detection (SP)
|
100% |
8716
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
16296
193.6 IPS |
|
|
Face Detection (Q)
|
97% |
6609
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16345
125.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31915
245.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11787
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38834
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
141679
182.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30090
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8325
307.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13581
501.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4525
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.0 IPS |
|
|
Text Classification (HP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (Q)
|
97% |
723
968.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1118
21.0 IPS |
