NEW PCC 1 i7 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1728
Single Precision Score
1776
Half Precision Score
1174
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 20 2025 06:32 PM |
| 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 i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
100% |
653
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
799
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5377
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5921
6.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
3613
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
98% |
717
57.0 IPS |
|
|
Object Detection (Q)
|
86% |
696
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1264
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3467
26.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2335
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11070
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14793
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8216
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.8 IPS |
|
|
Text Classification (Q)
|
97% |
425
568.8 IPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
70% |
387
7.26 IPS |
