LENOVO 83F5
Geekbench AI Score
5445
Single Precision Score
8653
Half Precision Score
13023
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:48 PM |
| Views | 2 |
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% |
3907
726.7 IPS |
|
|
Image Classification (HP)
|
100% |
5970
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7851
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4049
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8744
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12280
199.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11425
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10564
12.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
34837
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3431
272.1 IPS |
|
|
Object Detection (HP)
|
100% |
5514
437.3 IPS |
|
|
Object Detection (Q)
|
88% |
9104
729.6 IPS |
|
|
Face Detection (SP)
|
100% |
6678
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
13182
156.6 IPS |
|
|
Face Detection (Q)
|
100% |
20332
241.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11318
87.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
20920
161.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23736
184.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28247
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39229
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80766
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9059
334.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14397
533.2 IPS |
|
|
Text Classification (SP)
|
71% |
1544
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2503
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2628
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3158
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3113
53.6 IPS |
