LENOVO 83DF
Geekbench AI Score
4762
Single Precision Score
4678
Half Precision Score
12025
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | January 05 2025 05:14 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3181
591.6 IPS |
|
|
Image Classification (HP)
|
100% |
3147
585.2 IPS |
|
|
Image Classification (Q)
|
100% |
8273
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3258
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8893
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7601
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
7570
8.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
25705
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
88% |
8298
665.2 IPS |
|
|
Face Detection (SP)
|
100% |
8671
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
8831
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
21124
251.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7352
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7206
55.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
22782
177.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21806
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21720
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
73014
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4232
156.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13838
512.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4835
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1715
29.5 IPS |
