LENOVO 21KV0017US
Geekbench AI Score
18490
Single Precision Score
30180
Half Precision Score
14673
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jmactx |
| Upload Date | July 25 2025 05:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0017US |
| Motherboard | LENOVO 21KV0017US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7553
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
11357
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
6810
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13734
222.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18710
303.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12424
202.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
90860
106.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
266408
310.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
92662
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
8650
686.1 IPS |
|
|
Object Detection (HP)
|
100% |
14492
1.15 KIPS |
|
|
Object Detection (Q)
|
85% |
7889
635.0 IPS |
|
|
Face Detection (SP)
|
100% |
22787
270.8 IPS |
|
|
Face Detection (HP)
|
100% |
35585
422.8 IPS |
|
|
Face Detection (Q)
|
97% |
20172
240.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42842
330.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
81769
630.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35900
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
173333
222.8 IPS |
|
|
Style Transfer (HP)
|
100% |
390333
501.8 IPS |
|
|
Style Transfer (Q)
|
98% |
145711
187.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31019
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47405
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22888
847.5 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3450
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1651
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4115
71.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1876
35.2 IPS |
