SH MM 1 i7 14 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
5320
Single Precision Score
1617
Half Precision Score
7610
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 18 2025 09:37 PM |
| 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% |
4564
848.8 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.5 IPS |
|
|
Image Classification (Q)
|
99% |
7340
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8364
136.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10198
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
31215
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4148
329.1 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
6674
536.4 IPS |
|
|
Face Detection (SP)
|
100% |
12304
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10867
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11817
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19091
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20861
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10601
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22714
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3259
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2268
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
639
855.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3093
62.1 IPS |
