LENOVO 83F3
Geekbench AI Score
4055
Single Precision Score
1605
Half Precision Score
7655
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83F3 |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
99% |
6977
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10638
173.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10211
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
3891
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
29738
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3593
285.0 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
7006
563.1 IPS |
|
|
Face Detection (SP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
9677
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2783
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1254
9.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
12036
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12476
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9064
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22537
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2433
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4383
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3163
63.6 IPS |
