Firebat Computer U6
Geekbench AI Score
2506
Single Precision Score
2500
Half Precision Score
1741
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 06:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Firebat Computer U6 |
| Motherboard | SZQFTX A1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1833
341.0 IPS |
|
|
Image Classification (HP)
|
100% |
1827
339.7 IPS |
|
|
Image Classification (Q)
|
99% |
1386
258.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2637
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2843
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2843
3.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
3440
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
1931
153.1 IPS |
|
|
Object Detection (Q)
|
85% |
1205
97.0 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
2594
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2936
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2983
23.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2139
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3381
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3370
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6038
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1676
62.1 IPS |
|
|
Text Classification (SP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (Q)
|
58% |
725
17.0 IPS |
