Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
624
Single Precision Score
609
Half Precision Score
421
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 04:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0A91 |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
280
52.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
550
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
85% |
288
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
63% |
533
5.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1057
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1060
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
1332
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
359
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
618
824.7 IPS |
|
|
Text Classification (HP)
|
100% |
619
826.5 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.5 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
58% |
246
5.77 IPS |
