SH MM 1 i7 14a Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
5313
Single Precision Score
1598
Half Precision Score
7410
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 19 2025 12:39 AM |
| Views | 4 |
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% |
4321
803.6 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
99% |
6977
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8371
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10139
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
3775
4.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
29079
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4027
319.4 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
6733
541.1 IPS |
|
|
Face Detection (SP)
|
100% |
12030
142.9 IPS |
|
|
Face Detection (HP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
11395
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12398
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18502
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20080
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10850
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21820
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5105
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
582
779.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3194
64.2 IPS |
