i3y Dedicated Computing OEM-A9101-00
Geekbench AI Score
4788
Single Precision Score
9278
Half Precision Score
3544
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | March 12 2025 03:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
99% |
4058
756.9 IPS |
|
|
Image Classification (Q)
|
99% |
1736
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5051
81.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2553
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15521
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
57868
67.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13541
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
5092
403.9 IPS |
|
|
Object Detection (Q)
|
83% |
2056
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
4955
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
8470
100.6 IPS |
|
|
Face Detection (Q)
|
97% |
4243
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9989
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22304
171.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7987
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26363
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73044
93.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22581
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6489
239.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11632
429.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2247
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
822
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2170
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
916
17.2 IPS |
