LENOVO 83F5
Geekbench AI Score
35012
Single Precision Score
60331
Half Precision Score
27323
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 12:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14098
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
21364
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
12487
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26757
433.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
38184
619.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24123
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
220572
257.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
654719
763.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
187178
219.3 IPS |
|
|
Object Detection (SP)
|
100% |
18266
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
28137
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
15967
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
52411
622.8 IPS |
|
|
Face Detection (HP)
|
100% |
78987
938.5 IPS |
|
|
Face Detection (Q)
|
97% |
44159
526.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
84358
649.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
172976
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65964
526.8 IPS |
|
|
Style Transfer (SP)
|
100% |
312963
402.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1022703
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
282411
364.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48697
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82886
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39033
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5187
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2542
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6988
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7077
121.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3156
59.2 IPS |
