LENOVO 21NSSIT021
Geekbench AI Score
2244
Single Precision Score
1195
Half Precision Score
3674
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 01:19 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% |
1442
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
99% |
2681
500.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2442
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3201
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
11382
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (Q)
|
88% |
1575
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
3711
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3690
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1719
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5850
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7391
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
6116
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
15502
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3413
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
619
825.8 IPS |
|
|
Text Classification (Q)
|
97% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2189
48.8 IPS |
