Firebat Computer Huan 16 Pro
Geekbench AI Score
16348
Single Precision Score
29869
Half Precision Score
12861
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | February 05 2026 10:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Firebat Computer Huan 16 Pro |
| Motherboard | Firebat Computer X6PR55xU-F |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5872
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
12622
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
5269
982.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11694
189.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16458
266.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10959
178.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
80265
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
234488
273.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73053
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
7727
612.9 IPS |
|
|
Object Detection (HP)
|
100% |
13181
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
7446
597.6 IPS |
|
|
Face Detection (SP)
|
100% |
21435
254.7 IPS |
|
|
Face Detection (HP)
|
100% |
33719
400.7 IPS |
|
|
Face Detection (Q)
|
97% |
18483
220.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41735
321.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86998
670.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
32350
258.6 IPS |
|
|
Style Transfer (SP)
|
100% |
125035
160.7 IPS |
|
|
Style Transfer (HP)
|
100% |
393827
506.3 IPS |
|
|
Style Transfer (Q)
|
98% |
109925
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22678
837.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43519
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17740
656.9 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1990
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1700
31.9 IPS |
