LENOVO 21NSSIT021
Geekbench AI Score
2262
Single Precision Score
1195
Half Precision Score
3704
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 04:24 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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
2740
511.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2381
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3212
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
10917
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
88% |
1542
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
3787
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1809
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6077
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7522
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
6162
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
16009
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1737
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.3 IPS |
|
|
Text Classification (Q)
|
97% |
1612
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2139
47.7 IPS |
