LENOVO 21KV0018US
Geekbench AI Score
18905
Single Precision Score
31056
Half Precision Score
14722
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zsamps |
| Upload Date | April 19 2025 11:31 PM |
| Views | 6 |
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% |
7787
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
12227
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
7205
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13945
226.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19029
308.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12517
203.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
86934
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
258720
301.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
76467
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
8986
712.7 IPS |
|
|
Object Detection (HP)
|
100% |
15229
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
7929
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
22872
271.8 IPS |
|
|
Face Detection (HP)
|
100% |
36985
439.5 IPS |
|
|
Face Detection (Q)
|
97% |
20493
244.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45042
347.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82640
636.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34942
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
178110
229.0 IPS |
|
|
Style Transfer (HP)
|
100% |
405565
521.4 IPS |
|
|
Style Transfer (Q)
|
98% |
158973
205.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32090
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48995
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22070
817.2 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3499
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1823
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4061
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4285
74.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1910
35.8 IPS |
