LENOVO 21KV0018US
Geekbench AI Score
18777
Single Precision Score
31102
Half Precision Score
14458
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zsamps |
| Upload Date | April 19 2025 11:30 PM |
| Views | 4 |
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 21KV0018US |
| Motherboard | LENOVO 21KV0018US |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7838
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
12126
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
7220
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13933
225.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18901
306.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12615
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
90634
105.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
273397
319.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
78273
91.7 IPS |
|
|
Object Detection (SP)
|
100% |
9137
724.7 IPS |
|
|
Object Detection (HP)
|
100% |
15238
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
8066
649.4 IPS |
|
|
Face Detection (SP)
|
100% |
23181
275.4 IPS |
|
|
Face Detection (HP)
|
100% |
36932
438.8 IPS |
|
|
Face Detection (Q)
|
97% |
20343
242.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42961
331.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83079
640.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35414
283.0 IPS |
|
|
Style Transfer (SP)
|
100% |
168971
217.2 IPS |
|
|
Style Transfer (HP)
|
100% |
406885
523.1 IPS |
|
|
Style Transfer (Q)
|
98% |
125523
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31285
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47689
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22117
819.0 IPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3469
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4296
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1907
35.8 IPS |
