LENOVO 21MA000PMX
Geekbench AI Score
6779
Single Precision Score
10748
Half Precision Score
15535
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:37 PM |
| Views | 3 |
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 21MA000PMX |
| Motherboard | LENOVO 21MA000PMX |
| Power Plan | Balanceret |
| 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% |
4857
903.2 IPS |
|
|
Image Classification (HP)
|
100% |
7065
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
8531
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10752
174.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14365
232.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16766
19.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
16633
19.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
54036
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
7310
579.8 IPS |
|
|
Object Detection (Q)
|
88% |
10769
863.0 IPS |
|
|
Face Detection (SP)
|
100% |
8675
103.1 IPS |
|
|
Face Detection (HP)
|
100% |
17454
207.4 IPS |
|
|
Face Detection (Q)
|
100% |
24261
288.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16959
130.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
28514
220.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
32035
249.0 IPS |
|
|
Style Transfer (SP)
|
100% |
40808
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54148
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124956
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11997
443.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17505
648.3 IPS |
|
|
Text Classification (SP)
|
71% |
1371
1.98 KIPS |
|
|
Text Classification (HP)
|
71% |
2021
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
1970
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3412
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3428
59.2 IPS |
