IMATX-Q670-P29 A_M_I_
Geekbench AI Score
36404
Single Precision Score
42124
Half Precision Score
29178
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 02:51 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
15129
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
15228
2.83 KIPS |
|
|
Image Classification (Q)
|
99% |
12518
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25589
414.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22923
371.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22966
373.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
302114
352.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
539978
630.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
266631
312.3 IPS |
|
|
Object Detection (SP)
|
100% |
16589
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
18437
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
16536
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
50719
602.7 IPS |
|
|
Face Detection (HP)
|
100% |
56106
666.7 IPS |
|
|
Face Detection (Q)
|
97% |
44856
534.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
80417
619.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94042
724.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
63291
507.2 IPS |
|
|
Style Transfer (SP)
|
100% |
476499
612.5 IPS |
|
|
Style Transfer (HP)
|
100% |
749565
963.6 IPS |
|
|
Style Transfer (Q)
|
98% |
425005
548.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55253
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66233
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44700
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2529
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4803
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2587
48.5 IPS |
