LENOVO 83F5
Geekbench AI Score
5424
Single Precision Score
2173
Half Precision Score
10120
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vuthi |
| Upload Date | September 27 2025 07:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4494
835.7 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
99% |
8337
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13073
212.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11876
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
41000
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
3984
316.0 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.1 IPS |
|
|
Object Detection (Q)
|
86% |
10040
806.9 IPS |
|
|
Face Detection (SP)
|
100% |
12814
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
12765
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13146
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3175
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21793
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25816
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17311
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26501
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6178
228.8 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1397
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3949
79.4 IPS |
