LENOVO 83KF
Geekbench AI Score
8903
Single Precision Score
13229
Half Precision Score
5807
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 30 2025 12:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5501
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
6619
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
3866
721.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6711
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11721
190.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4203
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22717
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
41751
48.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18729
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
6348
503.6 IPS |
|
|
Object Detection (HP)
|
100% |
7835
621.5 IPS |
|
|
Object Detection (Q)
|
84% |
4614
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
9785
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
16830
200.0 IPS |
|
|
Face Detection (Q)
|
97% |
6615
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20227
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33349
256.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14239
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
60279
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
106596
137.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41426
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9574
353.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17187
634.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5896
218.3 IPS |
|
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1333
25.0 IPS |
