LENOVO 83DF
Geekbench AI Score
4756
Single Precision Score
1436
Half Precision Score
7231
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | January 05 2025 05:10 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| 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 | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3861
718.1 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
99% |
6085
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3769
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10227
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4277
4.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
29240
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
6519
523.9 IPS |
|
|
Face Detection (SP)
|
100% |
10111
120.1 IPS |
|
|
Face Detection (HP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
9885
117.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11085
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1872
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15374
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22209
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10700
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24659
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3217
118.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3140
63.1 IPS |
