Firebat Computer U6
Geekbench AI Score
5975
Single Precision Score
6028
Half Precision Score
17372
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| 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% |
3722
692.2 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.1 IPS |
|
|
Image Classification (Q)
|
100% |
11391
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4407
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4469
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11990
194.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7371
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
7437
8.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
29702
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.8 IPS |
|
|
Object Detection (Q)
|
88% |
11244
901.4 IPS |
|
|
Face Detection (SP)
|
100% |
6938
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
7048
83.7 IPS |
|
|
Face Detection (Q)
|
100% |
27709
329.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9578
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9650
74.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
29658
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20112
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20315
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78623
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4468
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15391
570.0 IPS |
|
|
Text Classification (SP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
92% |
6171
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6005
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8943
154.0 IPS |
