IMATX-Q670-P29 A_M_I_
Geekbench AI Score
1811
Single Precision Score
1854
Half Precision Score
1219
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:21 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 i7-14700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.1 IPS |
|
|
Image Classification (Q)
|
100% |
690
128.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5947
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
3650
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
868
68.8 IPS |
|
|
Object Detection (HP)
|
98% |
744
59.2 IPS |
|
|
Object Detection (Q)
|
86% |
726
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1289
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3249
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3583
27.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2390
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11166
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15005
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8300
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
978
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.9 IPS |
|
|
Text Classification (Q)
|
97% |
466
623.8 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
70% |
420
7.88 IPS |
