LENOVO 83F5
Geekbench AI Score
23452
Single Precision Score
40949
Half Precision Score
18512
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vuthi |
| Upload Date | September 27 2025 07:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
9969
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
15344
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
8710
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18360
297.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26049
422.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16134
262.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
132161
154.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
378633
441.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
118329
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
12024
953.7 IPS |
|
|
Object Detection (HP)
|
100% |
19829
1.57 KIPS |
|
|
Object Detection (Q)
|
86% |
10293
827.0 IPS |
|
|
Face Detection (SP)
|
100% |
32783
389.5 IPS |
|
|
Face Detection (HP)
|
100% |
50897
604.8 IPS |
|
|
Face Detection (Q)
|
97% |
28717
342.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
58834
453.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
118819
915.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
48600
388.2 IPS |
|
|
Style Transfer (SP)
|
100% |
207269
266.4 IPS |
|
|
Style Transfer (HP)
|
100% |
712766
916.3 IPS |
|
|
Style Transfer (Q)
|
98% |
178022
229.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33153
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57907
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25617
948.6 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3604
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2307
43.3 IPS |
