IMATX-Q670-P29 A_M_I_
Geekbench AI Score
36397
Single Precision Score
42144
Half Precision Score
29499
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:30 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% |
15103
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
15290
2.84 KIPS |
|
|
Image Classification (Q)
|
99% |
12510
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25704
416.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22832
370.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23004
374.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
302263
352.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
533716
622.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
267607
313.5 IPS |
|
|
Object Detection (SP)
|
100% |
16505
1.31 KIPS |
|
|
Object Detection (HP)
|
99% |
18433
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
16124
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
50478
599.8 IPS |
|
|
Face Detection (HP)
|
100% |
56379
669.9 IPS |
|
|
Face Detection (Q)
|
97% |
44653
532.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
80432
619.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95022
732.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
63398
508.1 IPS |
|
|
Style Transfer (SP)
|
100% |
475605
611.4 IPS |
|
|
Style Transfer (HP)
|
100% |
749912
964.0 IPS |
|
|
Style Transfer (Q)
|
98% |
421657
543.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55422
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66356
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44695
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2526
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4813
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5041
86.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2982
55.9 IPS |
