SATA-NVME 16GB Dedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
1290
Single Precision Score
1353
Half Precision Score
909
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 22 2025 03:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
568
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
100% |
498
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
596
9.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4077
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2567
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
98% |
566
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
547
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
983
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2364
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2602
20.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1807
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7436
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
10447
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
5704
7.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
740
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
719
959.2 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.1 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.9 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
70% |
334
6.27 IPS |
