NVME-SATA i5 gen 14 Dedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
1648
Single Precision Score
1685
Half Precision Score
1113
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 12 2025 05:04 PM |
| Views | 5 |
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-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
705
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.3 IPS |
|
|
Image Classification (Q)
|
100% |
611
113.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3498
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
98% |
675
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
669
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1210
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3067
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3347
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2256
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10717
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14410
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7900
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
916
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
424
566.3 IPS |
|
|
Text Classification (Q)
|
97% |
368
493.5 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
366
6.86 IPS |
