IMATX-Q670-P29 A_M_I_
Geekbench AI Score
14106
Single Precision Score
24247
Half Precision Score
25581
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A580 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% |
6149
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
9057
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
9532
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17350
281.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27512
446.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28594
463.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
59861
69.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
194352
226.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
316222
370.2 IPS |
|
|
Object Detection (SP)
|
100% |
5847
463.7 IPS |
|
|
Object Detection (HP)
|
100% |
11651
924.2 IPS |
|
|
Object Detection (Q)
|
88% |
12182
976.2 IPS |
|
|
Face Detection (SP)
|
100% |
26920
319.9 IPS |
|
|
Face Detection (HP)
|
100% |
40334
479.3 IPS |
|
|
Face Detection (Q)
|
100% |
40215
477.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25604
197.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56145
432.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
59199
460.2 IPS |
|
|
Style Transfer (SP)
|
100% |
163286
209.9 IPS |
|
|
Style Transfer (HP)
|
100% |
304587
391.6 IPS |
|
|
Style Transfer (Q)
|
98% |
383163
494.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17666
652.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28075
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28752
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1810
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3572
61.5 IPS |
