LENOVO 83CV
Geekbench AI Score
7807
Single Precision Score
11863
Half Precision Score
18162
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | wei971214 |
| Upload Date | February 08 2026 08:06 PM |
| Views | 2 |
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 83CV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5631
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
7899
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
9819
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4647
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11492
186.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16157
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21441
25.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
19151
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
69438
81.3 IPS |
|
|
Object Detection (SP)
|
100% |
5112
405.5 IPS |
|
|
Object Detection (HP)
|
100% |
8105
642.9 IPS |
|
|
Object Detection (Q)
|
88% |
11626
931.7 IPS |
|
|
Face Detection (SP)
|
100% |
8993
106.9 IPS |
|
|
Face Detection (HP)
|
100% |
18184
216.1 IPS |
|
|
Face Detection (Q)
|
100% |
29534
350.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17308
133.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
31174
240.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
36871
286.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49714
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
65595
84.3 IPS |
|
|
Style Transfer (Q)
|
98% |
153709
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8433
311.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15139
559.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21213
785.6 IPS |
|
|
Text Classification (SP)
|
71% |
1631
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2814
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2481
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2475
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3462
59.8 IPS |
