LENOVO 21MA003QHV
Geekbench AI Score
6849
Single Precision Score
10544
Half Precision Score
15556
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | June 07 2025 08:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA003QHV |
| Motherboard | LENOVO 21MA003QHV |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4897
910.7 IPS |
|
|
Image Classification (HP)
|
100% |
7024
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
8636
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4538
73.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10882
176.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15645
253.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17461
20.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
16588
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
52848
61.9 IPS |
|
|
Object Detection (SP)
|
100% |
4676
370.9 IPS |
|
|
Object Detection (HP)
|
100% |
7424
588.9 IPS |
|
|
Object Detection (Q)
|
88% |
10486
840.3 IPS |
|
|
Face Detection (SP)
|
100% |
8574
101.9 IPS |
|
|
Face Detection (HP)
|
100% |
16667
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
26183
311.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16303
125.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
27684
214.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29135
226.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42675
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55538
71.4 IPS |
|
|
Style Transfer (Q)
|
98% |
131100
169.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12229
451.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18035
667.9 IPS |
|
|
Text Classification (SP)
|
71% |
1287
1.86 KIPS |
|
|
Text Classification (HP)
|
71% |
1906
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2054
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3023
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2993
51.6 IPS |
