i5 with A400 Dedicated Computing OEM-A9101-00
Geekbench AI Score
4652
Single Precision Score
9117
Half Precision Score
3437
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | February 28 2025 05:05 AM |
| Views | 5 |
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 i5-12500E |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1821
338.7 IPS |
|
|
Image Classification (HP)
|
99% |
3971
740.6 IPS |
|
|
Image Classification (Q)
|
99% |
1632
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5049
81.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2381
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15501
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56338
65.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13593
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
4961
393.5 IPS |
|
|
Object Detection (Q)
|
83% |
1960
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
7858
93.4 IPS |
|
|
Face Detection (Q)
|
97% |
4053
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9806
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22091
170.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7869
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26581
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73415
94.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22564
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6169
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11223
414.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4268
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2229
2.98 KIPS |
|
|
Text Classification (Q)
|
97% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2222
38.4 IPS |
|
|
Machine Translation (Q)
|
70% |
882
16.5 IPS |
