LENOVO 21KCSIT037
Geekbench AI Score
3206
Single Precision Score
7093
Half Precision Score
2535
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:10 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 21KCSIT037 |
| Motherboard | LENOVO 21KCSIT037 |
| Power Plan | Balanced |
| 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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
4752
883.7 IPS |
|
|
Image Classification (Q)
|
100% |
1316
244.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7304
118.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1399
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14647
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20395
23.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12064
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.3 IPS |
|
|
Object Detection (HP)
|
99% |
5085
404.5 IPS |
|
|
Object Detection (Q)
|
86% |
1172
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
7682
91.3 IPS |
|
|
Face Detection (Q)
|
97% |
1120
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6835
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
19907
153.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
5587
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33275
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53063
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27700
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6323
233.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8820
325.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4642
171.9 IPS |
|
|
Text Classification (SP)
|
86% |
798
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
644
859.5 IPS |
|
|
Text Classification (Q)
|
84% |
609
826.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (Q)
|
70% |
861
16.2 IPS |
