NEW PCC 1 i7 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
5397
Single Precision Score
1627
Half Precision Score
6893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 20 2025 06:13 PM |
| Views | 10 |
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% |
4323
803.9 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (Q)
|
99% |
7396
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3733
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10225
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
3897
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
31669
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3806
301.9 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
6703
538.7 IPS |
|
|
Face Detection (SP)
|
100% |
10933
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
11445
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12041
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16705
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10497
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22060
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4158
154.0 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
662
886.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3561
71.6 IPS |
