LENOVO 83D4
Geekbench AI Score
2938
Single Precision Score
1305
Half Precision Score
5891
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 07:26 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% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
4634
864.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6555
106.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
17042
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
86% |
4633
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
6305
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
7710
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1906
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12422
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11258
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8215
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18243
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4069
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
637
850.8 IPS |
|
|
Text Classification (Q)
|
97% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2189
44.0 IPS |
