LENOVO 21KWS63C00
Geekbench AI Score
16548
Single Precision Score
28943
Half Precision Score
12720
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 08:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWS63C00 |
| Motherboard | LENOVO 21KWS63C00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6857
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11145
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5974
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13435
217.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18713
303.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11021
179.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67283
78.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
210355
245.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
59955
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
7325
581.1 IPS |
|
|
Object Detection (HP)
|
100% |
14995
1.19 KIPS |
|
|
Object Detection (Q)
|
85% |
7103
571.8 IPS |
|
|
Face Detection (SP)
|
100% |
19785
235.1 IPS |
|
|
Face Detection (HP)
|
100% |
35425
420.9 IPS |
|
|
Face Detection (Q)
|
97% |
17485
208.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35424
272.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74312
572.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
29059
232.2 IPS |
|
|
Style Transfer (SP)
|
100% |
137336
176.5 IPS |
|
|
Style Transfer (HP)
|
100% |
370546
476.3 IPS |
|
|
Style Transfer (Q)
|
98% |
114955
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32009
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42944
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22271
824.7 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3533
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1613
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3989
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4237
73.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1886
35.4 IPS |
