LENOVO 21V50007GE
Geekbench AI Score
6657
Single Precision Score
2444
Half Precision Score
10360
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 05:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21V50007GE |
| Motherboard | LENOVO 21V50007GE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5234
973.4 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.8 IPS |
|
|
Image Classification (Q)
|
99% |
9350
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15836
257.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14822
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7817
9.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
39344
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
4917
390.0 IPS |
|
|
Object Detection (HP)
|
100% |
1080
85.7 IPS |
|
|
Object Detection (Q)
|
86% |
11037
887.0 IPS |
|
|
Face Detection (SP)
|
100% |
14223
169.0 IPS |
|
|
Face Detection (HP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
12407
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15167
116.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23545
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31675
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19358
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20604
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3441
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6251
231.5 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2958
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3974
79.8 IPS |
