LENOVO 83F5
Geekbench AI Score
7410
Single Precision Score
2597
Half Precision Score
11999
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | andreicr1 |
| Upload Date | August 15 2025 06:22 AM |
| Views | 9 |
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 | Ultimate Performance |
| 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% |
5841
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
730
135.8 IPS |
|
|
Image Classification (Q)
|
99% |
9993
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1638
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17469
284.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15347
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8370
9.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
49668
58.2 IPS |
|
|
Object Detection (SP)
|
100% |
5592
443.5 IPS |
|
|
Object Detection (HP)
|
100% |
1208
95.9 IPS |
|
|
Object Detection (Q)
|
86% |
12225
982.5 IPS |
|
|
Face Detection (SP)
|
100% |
16275
193.4 IPS |
|
|
Face Detection (HP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
13938
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17214
132.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3555
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26361
210.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34420
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20589
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30416
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5635
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7313
270.8 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4389
88.2 IPS |
