IMATX-Q670-P29 A_M_I_
Geekbench AI Score
2729
Single Precision Score
4169
Half Precision Score
6514
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2822
524.7 IPS |
|
|
Image Classification (Q)
|
99% |
4266
795.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4026
65.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4669
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4363
5.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3181
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13058
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
98% |
2473
196.8 IPS |
|
|
Object Detection (Q)
|
90% |
4641
371.1 IPS |
|
|
Face Detection (SP)
|
100% |
5058
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
8109
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
10785
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5154
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8814
68.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
12050
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11332
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17997
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30173
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6984
258.7 IPS |
|
|
Text Classification (SP)
|
71% |
1268
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1551
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1570
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2645
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2654
45.7 IPS |
