IMATX-Q670-P29 A_M_I_
Geekbench AI Score
4254
Single Precision Score
1803
Half Precision Score
7669
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
4704
874.9 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (Q)
|
99% |
6741
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3360
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5585
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4167
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
21623
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
844
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
7127
572.8 IPS |
|
|
Face Detection (SP)
|
100% |
7556
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
10523
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2496
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16618
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14258
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21031
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2792
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5552
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2100
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4706
94.6 IPS |
