NEW PCC 1 i7 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
5366
Single Precision Score
1556
Half Precision Score
7155
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 20 2025 06:19 PM |
| Views | 6 |
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% |
4435
824.8 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
7315
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3572
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3747
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
31774
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4123
327.0 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
6870
552.1 IPS |
|
|
Face Detection (SP)
|
100% |
10707
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
11297
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11534
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1773
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18748
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22390
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10096
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23975
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1997
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5593
207.1 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
645
863.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3368
67.7 IPS |
