Cybernet Manufacturing Inc. CYBERNET-ARLMB
Geekbench AI Score
16330
Single Precision Score
29458
Half Precision Score
12787
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Embedded GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Cybernet Manufacturing Inc. CYBERNET-ARLMB |
| Motherboard | Cybernet Manufacturing Inc. CYBERNET-ARLMB |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285T |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6957
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
12815
2.39 KIPS |
|
|
Image Classification (Q)
|
99% |
6396
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11927
193.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17769
288.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10870
176.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
65721
76.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
205249
239.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59532
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
8051
638.6 IPS |
|
|
Object Detection (HP)
|
100% |
16410
1.30 KIPS |
|
|
Object Detection (Q)
|
84% |
7174
578.6 IPS |
|
|
Face Detection (SP)
|
100% |
20324
241.5 IPS |
|
|
Face Detection (HP)
|
100% |
34923
415.0 IPS |
|
|
Face Detection (Q)
|
97% |
17954
214.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35685
274.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
76704
591.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
29999
240.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123193
158.4 IPS |
|
|
Style Transfer (HP)
|
100% |
323541
415.9 IPS |
|
|
Style Transfer (Q)
|
98% |
104552
134.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25219
931.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44726
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19689
729.1 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3629
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1846
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1924
36.1 IPS |
