LENOVO 21MA004GVA
Geekbench AI Score
4477
Single Precision Score
7215
Half Precision Score
11029
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 07:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 21MA004GVA |
| Motherboard | LENOVO 21MA004GVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3204
595.9 IPS |
|
|
Image Classification (HP)
|
100% |
5027
934.8 IPS |
|
|
Image Classification (Q)
|
100% |
6549
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5847
94.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8533
138.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11360
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10541
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
31601
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
4781
379.2 IPS |
|
|
Object Detection (Q)
|
88% |
7675
615.0 IPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
9772
116.1 IPS |
|
|
Face Detection (Q)
|
100% |
16905
200.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10356
79.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
18468
142.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23148
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25903
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36843
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
76019
98.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4557
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13011
481.8 IPS |
|
|
Text Classification (SP)
|
71% |
1629
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2120
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2301
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2203
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2208
38.0 IPS |
