NVME-SATA i3 gen 14 Dedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
2660
Single Precision Score
1374
Half Precision Score
5471
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 09 2025 02:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-14100 |
| 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 i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1805
335.7 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
3920
731.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4214
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
13047
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2067
163.9 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
4182
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
6620
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4774
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2043
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10416
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9557
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7567
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
15622
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2759
55.4 IPS |
