LENOVO 83DF
Geekbench AI Score
177
Single Precision Score
176
Half Precision Score
120
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | kfedor |
| Upload Date | February 27 2025 09:32 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.1 IPS |
|
|
Image Classification (Q)
|
97% |
75
13.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
110
1.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
131
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.74 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.80 IPS |
|
|
Object Detection (Q)
|
87% |
73
5.82 IPS |
|
|
Face Detection (SP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (HP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (Q)
|
97% |
243
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
230
1.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
151
1.39 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
400
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
80
2.95 IPS |
|
|
Text Classification (SP)
|
100% |
136
180.9 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.2 IPS |
|
|
Text Classification (Q)
|
91% |
77
103.4 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
58% |
94
2.24 IPS |
