Firebat Computer A5P
Geekbench AI Score
4197
Single Precision Score
1931
Half Precision Score
8733
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | afblur |
| Upload Date | November 05 2025 04:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Firebat Computer A5P |
| Motherboard | Firebat Computer ARB19L-P12-CH-F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3641
677.2 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.9 IPS |
|
|
Image Classification (Q)
|
99% |
8458
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10154
165.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7406
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
25654
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3404
270.0 IPS |
|
|
Object Detection (HP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
86% |
8223
660.8 IPS |
|
|
Face Detection (SP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
10983
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9855
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2887
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11055
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17410
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15321
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25144
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6749
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1907
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3628
72.9 IPS |
