i3y Dedicated Computing OEM-A9101-00
Geekbench AI Score
4690
Single Precision Score
9092
Half Precision Score
3498
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | March 11 2025 11:52 PM |
| Views | 3 |
| Notes | task mamager |
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% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
99% |
3998
745.7 IPS |
|
|
Image Classification (Q)
|
99% |
1680
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2559
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15354
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56519
65.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13469
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
4954
393.0 IPS |
|
|
Object Detection (Q)
|
83% |
1949
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
4850
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
7990
94.9 IPS |
|
|
Face Detection (Q)
|
97% |
4299
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9820
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21913
168.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7845
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26096
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72837
93.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22323
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6284
232.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11067
408.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4329
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
97% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2163
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2186
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
903
16.9 IPS |
