LENOVO 83L0
Geekbench AI Score
11348
Single Precision Score
26729
Half Precision Score
33086
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 10 2025 09:19 AM |
| Views | 9 |
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% |
7249
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13923
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
18572
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9778
158.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24090
390.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28409
460.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26220
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
109071
127.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
201850
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
7077
561.3 IPS |
|
|
Object Detection (HP)
|
100% |
15834
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
19559
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
14324
170.2 IPS |
|
|
Face Detection (HP)
|
100% |
32116
381.6 IPS |
|
|
Face Detection (Q)
|
100% |
43081
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23983
184.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55021
423.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
71648
556.9 IPS |
|
|
Style Transfer (SP)
|
100% |
65688
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
181671
233.5 IPS |
|
|
Style Transfer (Q)
|
98% |
282950
364.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10839
400.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33339
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41214
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3172
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6561
113.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6610
113.9 IPS |
