Firebat Computer U6
Geekbench AI Score
2401
Single Precision Score
2412
Half Precision Score
1746
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 11:53 AM |
| Views | 3 |
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 | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1871
347.9 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (Q)
|
99% |
1375
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2709
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
3515
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
2015
159.9 IPS |
|
|
Object Detection (Q)
|
85% |
1215
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
2596
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2757
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2714
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2166
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3007
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3033
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6013
7.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1696
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
903
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (Q)
|
58% |
714
16.8 IPS |
