LENOVO 21Q6006AMZ
Geekbench AI Score
3032
Single Precision Score
1262
Half Precision Score
6090
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | itroos |
| Upload Date | December 11 2025 11:35 AM |
| Views | 12 |
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 21Q6006AMZ |
| Motherboard | LENOVO 21Q6006AMZ |
| 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% |
2507
466.3 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
99% |
5299
988.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7407
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4792
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
13707
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
5391
433.3 IPS |
|
|
Face Detection (SP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
8357
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6009
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1738
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13105
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10777
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7679
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
18777
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4638
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
672
896.6 IPS |
|
|
Text Classification (Q)
|
97% |
1359
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1867
37.5 IPS |
