IMATX-Q670-P29 A_M_I_
Geekbench AI Score
1865
Single Precision Score
1913
Half Precision Score
1258
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
826
153.6 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.9 IPS |
|
|
Image Classification (Q)
|
100% |
713
132.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5615
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
6143
7.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
3769
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
891
70.6 IPS |
|
|
Object Detection (HP)
|
98% |
774
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
749
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1945
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1333
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3343
25.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3693
28.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2466
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11520
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15497
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8568
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
537
717.2 IPS |
|
|
Text Classification (Q)
|
97% |
479
642.2 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
70% |
434
8.14 IPS |
