LENOVO 21NS005UUS
Geekbench AI Score
2424
Single Precision Score
1192
Half Precision Score
4902
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 06:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NS005UUS |
| Motherboard | LENOVO 21NS005UUS |
| 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% |
1781
331.2 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
99% |
4113
767.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2453
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3126
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
11602
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
4092
328.8 IPS |
|
|
Face Detection (SP)
|
100% |
5038
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
6976
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4294
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9910
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7242
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5751
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
15367
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3385
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.4 IPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2879
57.8 IPS |
