LENOVO 21KX002NUS
Geekbench AI Score
2840
Single Precision Score
1234
Half Precision Score
3756
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 09:26 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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% |
1645
305.9 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
3132
584.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2464
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5375
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3549
4.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
19609
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
88% |
1759
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
3848
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6085
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1713
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7513
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12998
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8818
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19175
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
530
707.5 IPS |
|
|
Text Classification (Q)
|
97% |
516
690.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1974
44.0 IPS |
