LENOVO 21KX002NUS
Geekbench AI Score
12084
Single Precision Score
20482
Half Precision Score
9407
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 27 2024 07:46 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KX002NUS |
| Motherboard | LENOVO 21KX002NUS |
| 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% |
4817
895.8 IPS |
|
|
Image Classification (HP)
|
99% |
8986
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
4337
806.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7621
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9527
154.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7172
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54199
63.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176612
206.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
49132
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
6183
490.4 IPS |
|
|
Object Detection (HP)
|
100% |
10704
849.1 IPS |
|
|
Object Detection (Q)
|
89% |
5245
419.8 IPS |
|
|
Face Detection (SP)
|
100% |
13030
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
23048
273.9 IPS |
|
|
Face Detection (Q)
|
97% |
11014
131.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24505
188.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57348
441.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
20348
164.1 IPS |
|
|
Style Transfer (SP)
|
100% |
103969
133.7 IPS |
|
|
Style Transfer (HP)
|
100% |
265087
340.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93506
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21371
789.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34375
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15384
569.6 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1474
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1425
31.8 IPS |
