LENOVO 21NS000XGE
Geekbench AI Score
2236
Single Precision Score
17708
Half Precision Score
26396
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 08:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NS000XGE |
| Motherboard | LENOVO 21NS000XGE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1516
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
6818
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
11244
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15241
247.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29513
478.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2579
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
97225
113.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
192339
225.3 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
11554
916.5 IPS |
|
|
Object Detection (Q)
|
87% |
17775
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3930
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
23356
277.5 IPS |
|
|
Face Detection (Q)
|
100% |
43580
517.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3486
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62275
479.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
85494
665.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6942
8.92 IPS |
|
|
Style Transfer (HP)
|
100% |
195376
251.2 IPS |
|
|
Style Transfer (Q)
|
98% |
281166
362.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21723
802.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40552
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1022
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3334
57.4 IPS |
