iBUYPOWER Intel(R) Core(TM) i9-14900K
Geekbench AI Score
29506
Single Precision Score
44167
Half Precision Score
22927
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 01:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | iBUYPOWER Intel(R) Core(TM) i9-14900K |
| Motherboard | ASUSTeK COMPUTER INC. Z790 GAMING WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12087
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
16996
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10370
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20998
340.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27725
449.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18833
306.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
180975
211.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
444070
518.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163259
191.3 IPS |
|
|
Object Detection (SP)
|
100% |
14427
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
21482
1.70 KIPS |
|
|
Object Detection (Q)
|
85% |
12159
978.1 IPS |
|
|
Face Detection (SP)
|
100% |
42534
505.4 IPS |
|
|
Face Detection (HP)
|
100% |
55716
662.0 IPS |
|
|
Face Detection (Q)
|
97% |
36837
439.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
69989
539.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
123200
951.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
57040
456.0 IPS |
|
|
Style Transfer (SP)
|
100% |
323050
415.3 IPS |
|
|
Style Transfer (HP)
|
100% |
778008
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
283707
365.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46066
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58337
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33167
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4102
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1949
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5067
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4918
84.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2687
50.4 IPS |
