| User | Cifra45 |
| Upload Date | February 28 2025 09:37 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5399
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7519
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
7785
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10568
171.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13906
225.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13437
217.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
64210
74.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
188049
219.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
255907
299.6 IPS |
|
|
Object Detection (SP)
|
100% |
4907
389.2 IPS |
|
|
Object Detection (HP)
|
100% |
8526
676.3 IPS |
|
|
Object Detection (Q)
|
88% |
9071
726.9 IPS |
|
|
Face Detection (SP)
|
100% |
22073
262.3 IPS |
|
|
Face Detection (HP)
|
100% |
32185
382.4 IPS |
|
|
Face Detection (Q)
|
100% |
32594
387.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23980
184.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46698
359.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
49532
385.0 IPS |
|
|
Style Transfer (SP)
|
100% |
167985
215.9 IPS |
|
|
Style Transfer (HP)
|
100% |
283656
364.6 IPS |
|
|
Style Transfer (Q)
|
98% |
340744
439.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16697
616.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23111
853.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23167
858.0 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2040
35.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2028
34.9 IPS |