NEW PCC1 PCH RAID1 32G OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1564
Single Precision Score
1595
Half Precision Score
1051
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | June 22 2025 10:58 PM |
| Views | 7 |
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 i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
100% |
562
104.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4889
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
3270
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
98% |
637
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
630
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1132
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2874
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3157
24.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2125
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9996
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13535
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7414
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
864
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
415
553.6 IPS |
|
|
Text Classification (Q)
|
97% |
368
493.4 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
349
6.54 IPS |
