NEW PCC 1 i7 14 w NVME Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1740
Single Precision Score
1788
Half Precision Score
1172
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 20 2025 05:33 PM |
| Views | 6 |
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% |
774
144.0 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (Q)
|
100% |
631
117.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
799
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5380
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5876
6.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
3605
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (HP)
|
98% |
718
57.1 IPS |
|
|
Object Detection (Q)
|
86% |
698
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1260
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3154
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3454
26.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2329
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11067
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14944
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8205
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
97% |
430
576.5 IPS |
|
|
Machine Translation (SP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
70% |
391
7.34 IPS |
