LENOVO 21QG001VGE
Geekbench AI Score
312
Single Precision Score
186
Half Precision Score
629
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21QG001VGE |
| Motherboard | LENOVO 21QG001VGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
99% |
417
77.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
624
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
874
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
1288
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
867
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (Q)
|
97% |
977
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
229
1.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
173
1.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
607
4.84 IPS |
|
|
Style Transfer (SP)
|
100% |
1232
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2737
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.6 IPS |
|
|
Text Classification (HP)
|
100% |
50
67.0 IPS |
|
|
Text Classification (Q)
|
97% |
114
152.6 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
65% |
624
12.5 IPS |
