LENOVO 83F5
Geekbench AI Score
35648
Single Precision Score
60735
Half Precision Score
27401
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 03:16 AM |
| Views | 6 |
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% |
13910
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
21157
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
12434
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27316
442.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
38745
628.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24750
402.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
221682
258.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
679285
792.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
186904
218.9 IPS |
|
|
Object Detection (SP)
|
100% |
18389
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
28215
2.24 KIPS |
|
|
Object Detection (Q)
|
86% |
16189
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
52736
626.6 IPS |
|
|
Face Detection (HP)
|
100% |
78097
928.0 IPS |
|
|
Face Detection (Q)
|
97% |
43992
524.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85620
659.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
173141
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65806
525.5 IPS |
|
|
Style Transfer (SP)
|
100% |
324139
416.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1038944
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
276108
356.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49530
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83760
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39753
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4165
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2572
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7087
122.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7134
122.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3136
58.8 IPS |
