LENOVO 83D4
Geekbench AI Score
2977
Single Precision Score
1314
Half Precision Score
5980
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 07:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83D4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
4912
916.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6573
106.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4568
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3480
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17594
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
86% |
4658
374.4 IPS |
|
|
Face Detection (SP)
|
100% |
6374
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
7756
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6039
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1934
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12501
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11206
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8315
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18436
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4106
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.5 IPS |
|
|
Text Classification (Q)
|
97% |
1288
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2338
47.0 IPS |
