LENOVO 83KF
Geekbench AI Score
11352
Single Precision Score
25623
Half Precision Score
31933
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 30 2025 12:39 PM |
| Views | 3 |
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% |
7388
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
13788
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
18124
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9832
159.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22684
367.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27554
446.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26158
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
105233
122.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
198474
232.4 IPS |
|
|
Object Detection (SP)
|
100% |
7322
580.8 IPS |
|
|
Object Detection (HP)
|
100% |
15598
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
19062
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
13791
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
27523
327.0 IPS |
|
|
Face Detection (Q)
|
100% |
36217
430.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24127
185.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53435
411.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
70953
551.5 IPS |
|
|
Style Transfer (SP)
|
100% |
65890
84.7 IPS |
|
|
Style Transfer (HP)
|
100% |
182087
234.1 IPS |
|
|
Style Transfer (Q)
|
98% |
290795
375.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10734
396.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33097
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40155
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4357
5.82 KIPS |
|
|
Text Classification (Q)
|
92% |
3410
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6153
106.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5704
98.3 IPS |
