LENOVO 21KV0011US
Geekbench AI Score
3063
Single Precision Score
1237
Half Precision Score
2252
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nsb002 |
| Upload Date | August 28 2024 01:59 PM |
| Views | 6 |
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 21KV0011US |
| Motherboard | LENOVO 21KV0011US |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
0% |
0
775.0 IPS |
|
|
Image Classification (Q)
|
100% |
1194
222.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6464
104.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1224
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12524
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18689
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10718
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
0% |
0
348.2 IPS |
|
|
Object Detection (Q)
|
89% |
1111
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
7095
84.3 IPS |
|
|
Face Detection (Q)
|
97% |
854
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19260
148.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
5559
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39180
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
62159
79.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28713
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7332
270.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9862
364.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4433
164.2 IPS |
|
|
Text Classification (SP)
|
86% |
805
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
580
773.5 IPS |
|
|
Text Classification (Q)
|
83% |
516
701.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
60% |
620
13.8 IPS |
