ASUS System Product Name
Geekbench AI Score
459
Single Precision Score
231
Half Precision Score
933
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 03 2025 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME N100I-D D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
99% |
766
142.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
1237
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.50 IPS |
|
|
Object Detection (Q)
|
86% |
755
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
1597
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
688
5.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
1348
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1162
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
956
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2425
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
204
7.53 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.6 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.1 IPS |
|
|
Text Classification (Q)
|
97% |
570
764.1 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (Q)
|
65% |
538
10.8 IPS |
