IMATX-Q670-P29 A_M_I_
Geekbench AI Score
34390
Single Precision Score
54430
Half Precision Score
26593
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
14124
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
19892
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
12454
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21011
340.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26848
435.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19290
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
240687
280.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
673822
786.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
205707
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
16948
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
23645
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
14724
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
45565
541.4 IPS |
|
|
Face Detection (HP)
|
100% |
60413
717.8 IPS |
|
|
Face Detection (Q)
|
97% |
38650
460.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
91557
705.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
169037
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67476
538.8 IPS |
|
|
Style Transfer (SP)
|
100% |
352413
453.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1053564
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
307713
396.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56047
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84121
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42675
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4223
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5384
7.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2575
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5493
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5505
94.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2757
51.7 IPS |
