SH MM 1 i7 14a Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1730
Single Precision Score
1781
Half Precision Score
1173
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 19 2025 12:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
754
140.2 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.5 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
797
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5922
6.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
3613
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
834
66.1 IPS |
|
|
Object Detection (HP)
|
98% |
723
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
699
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1256
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3156
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3461
26.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2329
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11055
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14955
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8181
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1867
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
954
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
485
646.8 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.7 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
70% |
388
7.27 IPS |
