IMATX-Q670-P29 A_M_I_
Geekbench AI Score
14690
Single Precision Score
24967
Half Precision Score
26013
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 05:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| 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% |
6268
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
9729
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
10058
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18441
298.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27574
447.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29411
476.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
66334
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
206203
240.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
285429
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
5907
468.5 IPS |
|
|
Object Detection (HP)
|
100% |
11908
944.6 IPS |
|
|
Object Detection (Q)
|
88% |
12572
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
27775
330.0 IPS |
|
|
Face Detection (HP)
|
100% |
41080
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
41957
498.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25873
199.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58071
447.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
62890
488.9 IPS |
|
|
Style Transfer (SP)
|
100% |
182164
234.2 IPS |
|
|
Style Transfer (HP)
|
100% |
318734
409.7 IPS |
|
|
Style Transfer (Q)
|
98% |
392026
505.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18428
680.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28801
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28868
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1238
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3616
62.3 IPS |
