IMATX-Q670-P29 A_M_I_
Geekbench AI Score
7827
Single Precision Score
7767
Half Precision Score
17144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | IMATX-Q670-P29 A_M_I_ |
| Motherboard | BIOSTAR Group IMATX-Q670-P29 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4885
908.5 IPS |
|
|
Image Classification (HP)
|
100% |
4850
902.0 IPS |
|
|
Image Classification (Q)
|
100% |
10433
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6273
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6289
102.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11450
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9288
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34452
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4670
370.4 IPS |
|
|
Object Detection (HP)
|
100% |
4645
368.4 IPS |
|
|
Object Detection (Q)
|
88% |
11049
885.7 IPS |
|
|
Face Detection (SP)
|
100% |
12761
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
11735
139.4 IPS |
|
|
Face Detection (Q)
|
100% |
25817
306.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11589
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11596
89.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
29811
231.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28069
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28252
36.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95955
123.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17927
663.9 IPS |
|
|
Text Classification (SP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5874
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6220
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6215
107.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6206
106.9 IPS |
