LENOVO 21KV0011US
Geekbench AI Score
13041
Single Precision Score
21309
Half Precision Score
10253
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nsb002 |
| Upload Date | August 28 2024 02:02 PM |
| Views | 6 |
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 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% |
5193
965.8 IPS |
|
|
Image Classification (HP)
|
99% |
9272
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
4638
862.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7903
128.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9509
154.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7390
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
69062
80.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
210019
245.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
58827
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
6681
530.0 IPS |
|
|
Object Detection (HP)
|
100% |
10872
862.4 IPS |
|
|
Object Detection (Q)
|
89% |
6075
486.3 IPS |
|
|
Face Detection (SP)
|
100% |
13996
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
22417
266.4 IPS |
|
|
Face Detection (Q)
|
97% |
11771
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28153
216.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61268
472.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
23649
192.2 IPS |
|
|
Style Transfer (SP)
|
100% |
113316
145.7 IPS |
|
|
Style Transfer (HP)
|
100% |
285761
367.3 IPS |
|
|
Style Transfer (Q)
|
98% |
101902
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23332
861.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36588
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17421
645.1 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1530
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1387
30.9 IPS |
