LENOVO 21MA000PMX
Geekbench AI Score
6269
Single Precision Score
9175
Half Precision Score
14019
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 07:08 AM |
| 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% |
4302
800.1 IPS |
|
|
Image Classification (HP)
|
100% |
6152
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
7500
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9281
150.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12840
208.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16352
19.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
15326
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
47748
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
4282
339.6 IPS |
|
|
Object Detection (HP)
|
100% |
6577
521.7 IPS |
|
|
Object Detection (Q)
|
88% |
9016
722.5 IPS |
|
|
Face Detection (SP)
|
100% |
8054
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
9923
117.9 IPS |
|
|
Face Detection (Q)
|
100% |
23925
284.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14590
112.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
25072
193.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
29151
226.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36845
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57363
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
118468
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6763
249.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11002
406.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16867
624.6 IPS |
|
|
Text Classification (SP)
|
71% |
1290
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1823
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2018
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2568
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2515
43.3 IPS |
