LENOVO 21Q6006AMZ
Geekbench AI Score
7208
Single Precision Score
12908
Half Precision Score
4769
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | itroos |
| Upload Date | December 11 2025 11:49 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4526
841.6 IPS |
|
|
Image Classification (HP)
|
100% |
4500
836.8 IPS |
|
|
Image Classification (Q)
|
100% |
2725
506.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6949
112.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13703
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4935
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11862
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30534
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
10737
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
4595
364.5 IPS |
|
|
Object Detection (HP)
|
100% |
7828
621.0 IPS |
|
|
Object Detection (Q)
|
88% |
3747
300.5 IPS |
|
|
Face Detection (SP)
|
100% |
9935
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
18611
221.1 IPS |
|
|
Face Detection (Q)
|
97% |
7168
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17592
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35655
274.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13207
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
46514
59.8 IPS |
|
|
Style Transfer (HP)
|
100% |
172528
221.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37540
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10025
370.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16687
616.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4676
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
570
764.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1189
22.3 IPS |
