NEW PCC 1 i5 12 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
1568
Single Precision Score
1606
Half Precision Score
1055
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 17 2025 06:57 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 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% |
706
131.2 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
100% |
580
107.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4879
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5349
6.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
3271
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
98% |
636
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
630
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1137
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2889
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3155
24.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2128
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10026
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13510
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7444
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2325
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
428
570.6 IPS |
|
|
Text Classification (Q)
|
97% |
364
488.0 IPS |
|
|
Machine Translation (SP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
350
6.56 IPS |
