LENOVO 83KF
Geekbench AI Score
11220
Single Precision Score
25230
Half Precision Score
31865
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | July 02 2025 11:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
7440
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13628
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
17708
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9814
159.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22644
367.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27679
448.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26270
30.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
104638
122.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
195593
229.0 IPS |
|
|
Object Detection (SP)
|
100% |
7211
571.9 IPS |
|
|
Object Detection (HP)
|
100% |
15578
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
19003
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
13097
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
27683
328.9 IPS |
|
|
Face Detection (Q)
|
100% |
35718
424.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24059
185.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53613
413.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
70865
550.9 IPS |
|
|
Style Transfer (SP)
|
100% |
64416
82.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168782
217.0 IPS |
|
|
Style Transfer (Q)
|
98% |
290130
374.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10514
388.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32108
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39325
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3510
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5909
101.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5845
100.7 IPS |
