LENOVO 21QA001WMH
Geekbench AI Score
2560
Single Precision Score
1190
Half Precision Score
6002
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:28 AM |
| Views | 6 |
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% |
768
142.9 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3898
727.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6663
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3484
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2386
2.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
12864
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1893
150.1 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
5304
426.3 IPS |
|
|
Face Detection (SP)
|
100% |
6186
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
8163
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6021
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1743
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13134
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10944
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7421
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
18550
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4744
175.7 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
708
944.5 IPS |
|
|
Text Classification (Q)
|
97% |
1383
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2625
52.7 IPS |
