NVME-SATA i3 gen 14 Dedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
1376
Single Precision Score
1436
Half Precision Score
968
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 09 2025 02:51 AM |
| Views | 8 |
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 i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.2 IPS |
|
|
Image Classification (Q)
|
100% |
531
98.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
671
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3775
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4368
5.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
2756
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (HP)
|
98% |
593
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
573
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
1072
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2758
21.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1918
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7944
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11155
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
6148
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
786
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
728
972.3 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.0 IPS |
|
|
Text Classification (Q)
|
97% |
370
495.2 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
70% |
352
6.60 IPS |
