LENOVO 83F5
Geekbench AI Score
5608
Single Precision Score
8856
Half Precision Score
13281
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3911
727.4 IPS |
|
|
Image Classification (HP)
|
100% |
5812
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7859
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9026
146.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12483
202.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11507
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10717
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
35047
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3361
266.6 IPS |
|
|
Object Detection (HP)
|
100% |
5571
441.9 IPS |
|
|
Object Detection (Q)
|
88% |
9172
735.0 IPS |
|
|
Face Detection (SP)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
15748
187.1 IPS |
|
|
Face Detection (Q)
|
100% |
23683
281.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12429
95.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
21714
167.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
24115
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28712
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39238
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80714
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9027
333.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14400
533.3 IPS |
|
|
Text Classification (SP)
|
71% |
1624
2.35 KIPS |
|
|
Text Classification (HP)
|
71% |
2468
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2598
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3172
54.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3140
54.1 IPS |
