i3 with Nvidia targeted Dedicated Computing OEM-A9101-00
Geekbench AI Score
4748
Single Precision Score
9271
Half Precision Score
3503
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | February 27 2025 04:37 AM |
| Views | 8 |
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% |
1893
352.0 IPS |
|
|
Image Classification (HP)
|
99% |
4068
758.7 IPS |
|
|
Image Classification (Q)
|
99% |
1676
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5000
81.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2413
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15493
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56843
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13606
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
5102
404.7 IPS |
|
|
Object Detection (Q)
|
83% |
2089
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
8263
98.2 IPS |
|
|
Face Detection (Q)
|
97% |
4158
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9897
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22431
172.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7885
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26365
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73734
94.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22769
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6351
234.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11626
429.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4296
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2268
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2209
38.2 IPS |
|
|
Machine Translation (Q)
|
70% |
910
17.1 IPS |
