LENOVO 21NSSIT021
Geekbench AI Score
2209
Single Precision Score
1204
Half Precision Score
3733
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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% |
1435
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (Q)
|
99% |
2763
515.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2481
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2535
2.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
11156
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
88% |
1510
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
3759
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3795
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1770
13.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6358
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7618
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6216
7.99 IPS |
|
|
Style Transfer (Q)
|
98% |
15767
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3525
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.3 IPS |
|
|
Text Classification (Q)
|
97% |
1555
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2208
49.3 IPS |
