LENOVO 83F5
Geekbench AI Score
6971
Single Precision Score
2414
Half Precision Score
10300
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:39 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 Home (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5609
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
99% |
9245
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4946
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15461
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7860
9.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
49743
58.3 IPS |
|
|
Object Detection (SP)
|
100% |
5253
416.7 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
12080
970.9 IPS |
|
|
Face Detection (SP)
|
100% |
14448
171.7 IPS |
|
|
Face Detection (HP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
13294
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14872
114.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3421
26.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
24612
196.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31613
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20051
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29792
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6698
248.0 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1651
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4538
91.2 IPS |
