Firebat Computer Huan 16 Pro
Geekbench AI Score
5504
Single Precision Score
5546
Half Precision Score
13166
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | February 05 2026 10:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700HX |
| 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% |
3694
687.0 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (Q)
|
100% |
8435
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4691
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4774
77.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8819
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6693
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
24309
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3438
272.7 IPS |
|
|
Object Detection (HP)
|
100% |
3524
279.6 IPS |
|
|
Object Detection (Q)
|
88% |
8869
710.9 IPS |
|
|
Face Detection (SP)
|
100% |
9663
114.8 IPS |
|
|
Face Detection (HP)
|
100% |
9360
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
20411
242.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5720
44.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22479
174.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19820
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20771
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69792
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3839
141.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13922
515.6 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4647
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4757
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4711
81.2 IPS |
