IMATX-Q670-P29 A_M_I_
Geekbench AI Score
10344
Single Precision Score
10126
Half Precision Score
7371
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| 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% |
2757
512.8 IPS |
|
|
Image Classification (HP)
|
100% |
4313
802.1 IPS |
|
|
Image Classification (Q)
|
99% |
2378
443.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6676
108.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6444
104.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5288
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
70961
82.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38849
45.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
55660
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
3484
276.3 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
84% |
2964
239.1 IPS |
|
|
Face Detection (SP)
|
100% |
7076
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
10836
128.8 IPS |
|
|
Face Detection (Q)
|
97% |
6022
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22672
174.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19656
151.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16851
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
116356
149.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63785
82.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86828
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21905
808.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15934
588.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12555
464.9 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1235
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3637
62.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1672
31.4 IPS |
