LENOVO 83F5
Geekbench AI Score
8468
Single Precision Score
9984
Half Precision Score
15298
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5388
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7082
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9819
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7657
124.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11397
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34159
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74390
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
5262
417.4 IPS |
|
|
Object Detection (HP)
|
100% |
6199
491.7 IPS |
|
|
Object Detection (Q)
|
87% |
10130
813.0 IPS |
|
|
Face Detection (SP)
|
100% |
15382
182.8 IPS |
|
|
Face Detection (HP)
|
100% |
16815
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
28547
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13761
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18865
145.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34783
270.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32777
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51809
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95854
123.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14422
532.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26083
965.9 IPS |
|
|
Text Classification (SP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2164
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3985
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4443
76.5 IPS |
