NVME-SATA 16GBDedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
1270
Single Precision Score
1333
Half Precision Score
896
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 22 2025 05:01 AM |
| Views | 9 |
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% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
100% |
480
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
612
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
3476
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
2564
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (HP)
|
98% |
547
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
530
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
977
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2345
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2556
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1786
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7376
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
10346
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5685
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
742
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
710
948.0 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (Q)
|
97% |
358
480.0 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
70% |
319
5.99 IPS |
