SH MM 1 i5 14a Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
4058
Single Precision Score
1613
Half Precision Score
6218
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 08:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9321-00 |
| Motherboard | BCM Advanced Research BC680R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
5571
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5756
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6609
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4138
4.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
21267
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
5549
446.0 IPS |
|
|
Face Detection (SP)
|
100% |
7936
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
9011
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2177
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14592
116.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15744
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9552
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21742
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5315
196.8 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
544
728.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2764
55.5 IPS |
