LENOVO 83L0
Geekbench AI Score
10908
Single Precision Score
26053
Half Precision Score
32338
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 11 2025 02:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83L0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7263
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14089
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
18482
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9717
157.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23674
383.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28642
464.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23923
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107924
125.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
201222
235.6 IPS |
|
|
Object Detection (SP)
|
100% |
7155
567.5 IPS |
|
|
Object Detection (HP)
|
100% |
15382
1.22 KIPS |
|
|
Object Detection (Q)
|
88% |
19659
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
14069
167.2 IPS |
|
|
Face Detection (HP)
|
100% |
31999
380.2 IPS |
|
|
Face Detection (Q)
|
100% |
44356
527.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23731
182.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
54508
420.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
72471
563.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51617
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
179417
230.6 IPS |
|
|
Style Transfer (Q)
|
98% |
284827
367.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10814
399.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34103
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41175
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2343
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6615
114.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6762
116.5 IPS |
