LENOVO 21NSSIT021
Geekbench AI Score
10259
Single Precision Score
25106
Half Precision Score
29156
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NSSIT021 |
| Motherboard | LENOVO 21NSSIT021 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7056
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13828
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
16323
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8796
142.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19784
320.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22517
365.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22849
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
132422
154.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
251439
294.4 IPS |
|
|
Object Detection (SP)
|
100% |
6224
493.7 IPS |
|
|
Object Detection (HP)
|
100% |
14057
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
14194
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
13933
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
30252
359.5 IPS |
|
|
Face Detection (Q)
|
100% |
38137
453.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24675
190.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59496
458.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
68815
535.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53486
68.8 IPS |
|
|
Style Transfer (HP)
|
100% |
155866
200.4 IPS |
|
|
Style Transfer (Q)
|
98% |
178777
230.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9663
356.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28977
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31842
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
92% |
4500
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5035
86.7 IPS |
