LENOVO 21KV0011US
Geekbench AI Score
2840
Single Precision Score
714
Half Precision Score
3666
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nsb002 |
| Upload Date | August 28 2024 01:53 PM |
| Views | 12 |
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 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% |
1687
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
3205
597.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3540
4.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
20399
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
88% |
1646
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
3366
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5933
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.85 IPS |
|
|
Depth Estimation (Q)
|
76% |
7644
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13138
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8763
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17368
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
618
825.3 IPS |
|
|
Text Classification (Q)
|
97% |
518
693.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2105
47.0 IPS |
