LENOVO 83DF
Geekbench AI Score
4156
Single Precision Score
1494
Half Precision Score
4856
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | KoJesko |
| Upload Date | September 17 2024 11:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
2235
415.5 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (Q)
|
99% |
3953
737.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3410
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10584
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4330
5.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
30837
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2789
221.3 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (Q)
|
88% |
2255
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
1662
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
5013
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9551
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1930
14.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10043
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22246
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10788
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25954
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4540
168.1 IPS |
|
|
Text Classification (SP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
677
904.1 IPS |
|
|
Text Classification (Q)
|
97% |
527
705.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2492
55.6 IPS |
