NEW PCC1 PCH RAID1 32G OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
2438
Single Precision Score
1261
Half Precision Score
4445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | June 22 2025 10:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
99% |
4697
876.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1926
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3054
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
13292
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
86% |
3869
310.9 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
6880
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4215
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1704
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10710
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7959
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6430
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
15372
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
582
779.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2782
55.9 IPS |
