NEW PCC 1 i7 14a Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
5375
Single Precision Score
1617
Half Precision Score
7273
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 20 2025 10:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| 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% |
4424
822.7 IPS |
|
|
Image Classification (HP)
|
100% |
683
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
7184
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3728
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10135
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
3917
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
32771
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4034
320.0 IPS |
|
|
Object Detection (HP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
86% |
6907
555.1 IPS |
|
|
Face Detection (SP)
|
100% |
11128
132.2 IPS |
|
|
Face Detection (HP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
11510
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12473
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2021
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18884
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22174
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11112
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25788
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3357
123.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2176
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
634
849.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3728
74.9 IPS |
