LENOVO 21QA001WMH
Geekbench AI Score
2629
Single Precision Score
1115
Half Precision Score
5056
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QA001WMH |
| Motherboard | LENOVO 21QA001WMH |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
3938
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5849
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4021
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
13579
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.8 IPS |
|
|
Object Detection (HP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
4184
336.2 IPS |
|
|
Face Detection (SP)
|
100% |
5522
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
1317
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
6487
77.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1591
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10588
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10053
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6619
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
18362
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3213
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.4 IPS |
|
|
Text Classification (Q)
|
97% |
1036
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1990
40.0 IPS |
