LENOVO 21KV0028PB
Geekbench AI Score
13761
Single Precision Score
22130
Half Precision Score
11246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 02:54 PM |
| Views | 1 |
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 21KV0028PB |
| Motherboard | LENOVO 21KV0028PB |
| Power Plan | Zrwnowaony |
| 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% |
5528
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
8138
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
5328
990.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9908
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12598
204.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8715
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80101
93.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
208584
243.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72313
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
6109
484.6 IPS |
|
|
Object Detection (HP)
|
100% |
11110
881.3 IPS |
|
|
Object Detection (Q)
|
85% |
5664
456.0 IPS |
|
|
Face Detection (SP)
|
100% |
15272
181.5 IPS |
|
|
Face Detection (HP)
|
100% |
25544
303.5 IPS |
|
|
Face Detection (Q)
|
97% |
15358
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33197
255.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63144
487.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
28324
227.5 IPS |
|
|
Style Transfer (SP)
|
100% |
129876
167.0 IPS |
|
|
Style Transfer (HP)
|
100% |
317861
408.6 IPS |
|
|
Style Transfer (Q)
|
98% |
116479
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22419
827.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35731
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17767
657.9 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2366
3.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2817
48.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2737
47.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1433
26.9 IPS |
