LENOVO 83F5
Geekbench AI Score
5366
Single Precision Score
1963
Half Precision Score
8457
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | giosal |
| Upload Date | June 08 2025 06:11 PM |
| Views | 10 |
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 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% |
3200
595.1 IPS |
|
|
Image Classification (HP)
|
100% |
724
134.7 IPS |
|
|
Image Classification (Q)
|
99% |
8755
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4813
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11479
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6342
7.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
35829
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
3878
307.6 IPS |
|
|
Object Detection (HP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (Q)
|
86% |
9101
731.4 IPS |
|
|
Face Detection (SP)
|
100% |
11251
133.7 IPS |
|
|
Face Detection (HP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
11957
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11920
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2585
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17453
139.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23884
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12535
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26562
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4093
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4420
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1480
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2576
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3760
75.6 IPS |
