Gen 12 i3 A400 Targeted Dedicated Computing OEM-A9101-00
Geekbench AI Score
4668
Single Precision Score
9148
Half Precision Score
3448
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | February 26 2025 08:51 PM |
| Views | 7 |
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% |
1878
349.2 IPS |
|
|
Image Classification (HP)
|
99% |
4050
755.4 IPS |
|
|
Image Classification (Q)
|
99% |
1637
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2393
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15514
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56084
65.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13659
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (Q)
|
83% |
1953
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
7999
95.0 IPS |
|
|
Face Detection (Q)
|
97% |
4109
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9944
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22662
174.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7925
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26790
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74423
95.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22727
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6213
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11591
428.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4280
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2176
2.90 KIPS |
|
|
Text Classification (Q)
|
97% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2200
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
871
16.3 IPS |
