LENOVO 83DF
Geekbench AI Score
2499
Single Precision Score
2491
Half Precision Score
1715
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | kfedor |
| Upload Date | February 28 2025 11:20 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% |
1486
276.4 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (Q)
|
99% |
908
169.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1333
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3782
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3479
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
4293
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.8 IPS |
|
|
Object Detection (HP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (Q)
|
85% |
1585
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2961
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3419
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3424
26.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2313
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4153
5.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4164
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
7042
9.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1659
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
512
687.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (Q)
|
58% |
656
15.4 IPS |
