i7y Dedicated Computing OEM-A9101-00
Geekbench AI Score
4548
Single Precision Score
8800
Half Precision Score
3346
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | March 13 2025 06:01 PM |
| Views | 12 |
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 i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1743
324.2 IPS |
|
|
Image Classification (HP)
|
99% |
3808
710.2 IPS |
|
|
Image Classification (Q)
|
99% |
1645
306.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4799
77.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15335
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
55446
64.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13403
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
4661
369.7 IPS |
|
|
Object Detection (Q)
|
83% |
1850
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7284
86.5 IPS |
|
|
Face Detection (Q)
|
97% |
3928
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9687
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20523
158.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7717
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25727
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
73622
94.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22113
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10958
404.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4157
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
99% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
97% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2167
37.4 IPS |
|
|
Machine Translation (Q)
|
70% |
825
15.5 IPS |
