IMATX-Q670-P29 A_M_I_
Geekbench AI Score
29381
Single Precision Score
51150
Half Precision Score
22732
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 01:23 AM |
| Views | 4 |
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 i5-14600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11679
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
20267
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
10627
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20522
332.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30257
490.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18651
303.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
170320
198.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
478309
558.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
146620
171.7 IPS |
|
|
Object Detection (SP)
|
100% |
15033
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
24552
1.95 KIPS |
|
|
Object Detection (Q)
|
83% |
12625
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
39209
465.9 IPS |
|
|
Face Detection (HP)
|
100% |
56437
670.6 IPS |
|
|
Face Detection (Q)
|
97% |
33714
402.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
71703
552.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
134286
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56351
449.8 IPS |
|
|
Style Transfer (SP)
|
100% |
235872
303.2 IPS |
|
|
Style Transfer (HP)
|
100% |
800242
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
202167
260.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42959
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80200
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33941
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2607
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6221
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6321
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2956
55.5 IPS |
