LENOVO 21MA000PMX
Geekbench AI Score
2672
Single Precision Score
5949
Half Precision Score
2114
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 07:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
3843
714.6 IPS |
|
|
Image Classification (Q)
|
100% |
987
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6144
99.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1127
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11787
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13861
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8579
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
99% |
3880
308.7 IPS |
|
|
Object Detection (Q)
|
86% |
1010
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
7574
90.0 IPS |
|
|
Face Detection (Q)
|
97% |
1012
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
17893
138.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
5269
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34645
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50164
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26141
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7951
293.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4014
148.7 IPS |
|
|
Text Classification (SP)
|
86% |
630
852.2 IPS |
|
|
Text Classification (HP)
|
99% |
566
756.0 IPS |
|
|
Text Classification (Q)
|
84% |
451
611.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (Q)
|
70% |
736
13.8 IPS |
