LENOVO 21KS000AFR
Geekbench AI Score
2843
Single Precision Score
7114
Half Precision Score
11073
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 21KS000AFR |
| Motherboard | LENOVO 21KS000AFR |
| Power Plan | Utilisation normale |
| 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% |
1633
303.6 IPS |
|
|
Image Classification (HP)
|
100% |
5264
979.0 IPS |
|
|
Image Classification (Q)
|
100% |
7284
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2959
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3964
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
29026
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
61695
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
4267
338.5 IPS |
|
|
Object Detection (Q)
|
89% |
7482
599.3 IPS |
|
|
Face Detection (SP)
|
100% |
5370
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
11624
138.1 IPS |
|
|
Face Detection (Q)
|
100% |
23162
275.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14400
110.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
28933
225.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13919
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43643
56.1 IPS |
|
|
Style Transfer (Q)
|
98% |
77056
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10597
391.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18020
667.3 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.3 IPS |
|
|
Text Classification (HP)
|
100% |
1153
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1161
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2579
44.4 IPS |
