lunar ONNX DirectML LENOVO 21NVS0HS01
Geekbench AI Score
8246
Single Precision Score
15357
Half Precision Score
5491
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zokkoz |
| Upload Date | September 11 2025 01:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NVS0HS01 |
| Motherboard | LENOVO 21NVS0HS01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4979
925.9 IPS |
|
|
Image Classification (HP)
|
100% |
4813
895.1 IPS |
|
|
Image Classification (Q)
|
100% |
3535
657.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7460
120.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15056
244.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5126
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21368
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106792
124.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17585
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
5302
420.6 IPS |
|
|
Object Detection (HP)
|
100% |
8301
658.4 IPS |
|
|
Object Detection (Q)
|
88% |
4485
359.7 IPS |
|
|
Face Detection (SP)
|
100% |
10003
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
18333
217.8 IPS |
|
|
Face Detection (Q)
|
97% |
6857
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21225
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40668
313.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13811
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50725
65.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173256
222.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38333
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8310
306.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21239
784.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
662
887.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3029
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1328
24.9 IPS |
