LENOVO 83F5
Geekbench AI Score
29714
Single Precision Score
51491
Half Precision Score
23083
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maybesid |
| Upload Date | October 06 2025 08:44 AM |
| Views | 9 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12052
2.24 KIPS |
|
|
Image Classification (HP)
|
100% |
19518
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
10802
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23160
375.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34268
555.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20729
337.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
166239
194.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
484332
565.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
149354
174.9 IPS |
|
|
Object Detection (SP)
|
100% |
14851
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
25330
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
12701
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
44565
529.5 IPS |
|
|
Face Detection (HP)
|
100% |
66229
786.9 IPS |
|
|
Face Detection (Q)
|
97% |
37655
449.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
72325
557.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
138669
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56346
450.1 IPS |
|
|
Style Transfer (SP)
|
100% |
264010
339.4 IPS |
|
|
Style Transfer (HP)
|
100% |
879280
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
226799
292.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41342
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70835
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32448
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4400
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6399
110.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6345
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2899
54.4 IPS |
