NEW PCC 1 i5 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1646
Single Precision Score
1689
Half Precision Score
1118
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 12:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
704
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (Q)
|
100% |
620
115.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5206
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5712
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3493
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (HP)
|
98% |
673
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
665
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1204
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3050
23.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3331
25.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2244
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10664
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14414
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7942
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
920
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
432
577.0 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.3 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
366
6.87 IPS |
