LENOVO 83F3
Geekbench AI Score
2845
Single Precision Score
698
Half Precision Score
3790
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | February 03 2026 10:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83F3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1813
337.2 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
99% |
3450
643.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
3294
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7081
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3880
4.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
25051
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
88% |
1356
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
238
2.82 IPS |
|
|
Face Detection (Q)
|
97% |
3719
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5016
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
6176
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9925
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17030
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5107
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.5 IPS |
|
|
Text Classification (Q)
|
97% |
513
686.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1549
34.6 IPS |
