LENOVO 21KCCTO1WW
Geekbench AI Score
17739
Single Precision Score
23093
Half Precision Score
14880
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 11:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KCCTO1WW |
| Motherboard | LENOVO 21KCCTO1WW |
| 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% |
6290
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6852
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
5439
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8695
141.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9612
155.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8371
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
181450
211.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
376659
439.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
159702
187.1 IPS |
|
|
Object Detection (SP)
|
100% |
7853
622.9 IPS |
|
|
Object Detection (HP)
|
100% |
9264
734.8 IPS |
|
|
Object Detection (Q)
|
86% |
7282
585.1 IPS |
|
|
Face Detection (SP)
|
100% |
19572
232.6 IPS |
|
|
Face Detection (HP)
|
100% |
22193
263.7 IPS |
|
|
Face Detection (Q)
|
97% |
17642
210.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
62202
479.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95309
734.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
49431
394.7 IPS |
|
|
Style Transfer (SP)
|
100% |
255730
328.7 IPS |
|
|
Style Transfer (HP)
|
100% |
524636
674.4 IPS |
|
|
Style Transfer (Q)
|
98% |
228918
295.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34077
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42987
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28124
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1404
26.3 IPS |
