LENOVO 21QA0005US-X9-14 AI LENOVO 21QA0005US
Geekbench AI Score
3034
Single Precision Score
1317
Half Precision Score
5753
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chrishoesel |
| Upload Date | December 02 2025 03:34 PM |
| Views | 3 |
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 21QA0005US |
| Motherboard | LENOVO 21QA0005US |
| Power Plan | Balanced |
| 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% |
2318
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
99% |
4997
932.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7071
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4781
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
16071
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
5036
404.8 IPS |
|
|
Face Detection (SP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
4690
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1787
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12555
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10452
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7731
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
18302
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4227
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
659
880.1 IPS |
|
|
Text Classification (Q)
|
97% |
1279
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2384
47.9 IPS |
