Firebat_Computer A16
Geekbench AI Score
819
Single Precision Score
441
Half Precision Score
1429
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | eunu |
| Upload Date | August 04 2025 03:12 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Firebat_Computer A16 |
| Motherboard | Default string Default string |
| 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% |
563
104.6 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.5 IPS |
|
|
Image Classification (Q)
|
99% |
988
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1261
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
2297
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
86% |
973
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
97% |
1979
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1433
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
627
4.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
2418
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2630
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1947
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3855
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.5 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.2 IPS |
|
|
Text Classification (Q)
|
97% |
648
868.7 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
65% |
1012
20.3 IPS |
