NVME-SATA i5 gen 14 Dedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
3566
Single Precision Score
1337
Half Precision Score
6606
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 12 2025 04:48 PM |
| Views | 5 |
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-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| 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% |
2706
503.2 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
5107
952.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7770
126.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5683
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
18608
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
5443
437.4 IPS |
|
|
Face Detection (SP)
|
100% |
7527
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
8287
98.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7525
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1912
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13130
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13204
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8580
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21628
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2525
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4724
174.9 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.8 IPS |
|
|
Text Classification (Q)
|
97% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2672
53.7 IPS |
