LENOVO 83KF
Geekbench AI Score
5322
Single Precision Score
2193
Half Precision Score
9795
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 11:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4229
786.4 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.2 IPS |
|
|
Image Classification (Q)
|
99% |
9092
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12551
204.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9116
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6599
7.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
31251
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3974
315.2 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
86% |
9201
739.5 IPS |
|
|
Face Detection (SP)
|
100% |
11201
133.1 IPS |
|
|
Face Detection (HP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
11461
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11363
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3023
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19137
152.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20564
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14989
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26949
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6520
241.4 IPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3765
75.6 IPS |
