Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
446
Single Precision Score
419
Half Precision Score
312
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | raska-vilem |
| Upload Date | December 04 2025 09:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 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 | 15.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
251
4.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
375
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
85% |
199
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (Q)
|
97% |
481
5.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
442
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.39 IPS |
|
|
Depth Estimation (Q)
|
63% |
362
3.40 IPS |
|
|
Style Transfer (SP)
|
100% |
657
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
900
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
239
8.87 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.0 IPS |
|
|
Text Classification (HP)
|
100% |
596
794.9 IPS |
|
|
Text Classification (Q)
|
92% |
255
342.9 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.09 IPS |
|
|
Machine Translation (Q)
|
58% |
176
4.13 IPS |
