LENOVO 83CV
Geekbench AI Score
4394
Single Precision Score
6810
Half Precision Score
3170
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | wei971214 |
| Upload Date | February 08 2026 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
3811
708.7 IPS |
|
|
Image Classification (Q)
|
100% |
1867
347.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6553
106.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2369
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12548
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17015
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10791
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
99% |
4569
363.5 IPS |
|
|
Object Detection (Q)
|
86% |
1922
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7821
92.9 IPS |
|
|
Face Detection (Q)
|
97% |
3316
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8939
68.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
17740
137.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
7032
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39783
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57471
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28832
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6144
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9711
358.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.7 IPS |
|
|
Text Classification (SP)
|
86% |
784
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
651
868.9 IPS |
|
|
Text Classification (Q)
|
84% |
485
658.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
937
17.6 IPS |
