IMATX-Q670-P29 A_M_I_
Geekbench AI Score
29539
Single Precision Score
51736
Half Precision Score
22867
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11793
2.19 KIPS |
|
|
Image Classification (HP)
|
100% |
20584
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
10730
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20617
334.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30305
491.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18762
305.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
171124
199.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
486049
567.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
146972
172.2 IPS |
|
|
Object Detection (SP)
|
100% |
15090
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
24838
1.97 KIPS |
|
|
Object Detection (Q)
|
83% |
12695
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
39660
471.2 IPS |
|
|
Face Detection (HP)
|
100% |
57775
686.5 IPS |
|
|
Face Detection (Q)
|
97% |
34113
406.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
72199
556.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
135767
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56552
451.4 IPS |
|
|
Style Transfer (SP)
|
100% |
237315
305.1 IPS |
|
|
Style Transfer (HP)
|
100% |
806748
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
203476
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43143
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80990
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34106
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2630
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6214
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2957
55.5 IPS |
