i5m Dedicated Computing OEM-A9101-00
Geekbench AI Score
4696
Single Precision Score
9168
Half Precision Score
3470
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | March 13 2025 02:32 PM |
| 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 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% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
99% |
4001
746.3 IPS |
|
|
Image Classification (Q)
|
99% |
1688
314.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2878
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5028
81.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2503
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15596
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
55967
65.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13671
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
5008
397.2 IPS |
|
|
Object Detection (Q)
|
83% |
1939
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8037
95.5 IPS |
|
|
Face Detection (Q)
|
97% |
4162
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9860
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21839
168.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7941
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26787
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73647
94.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22747
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6315
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11284
416.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4278
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2275
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
805
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2243
38.8 IPS |
|
|
Machine Translation (Q)
|
70% |
875
16.4 IPS |
