Firebat Computer U6
Geekbench AI Score
5782
Single Precision Score
5920
Half Precision Score
16855
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 06:23 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 | 30.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3833
712.7 IPS |
|
|
Image Classification (HP)
|
100% |
3866
719.0 IPS |
|
|
Image Classification (Q)
|
100% |
11126
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4192
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4359
70.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12059
195.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6833
7.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
28623
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3401
269.8 IPS |
|
|
Object Detection (Q)
|
88% |
11062
886.8 IPS |
|
|
Face Detection (SP)
|
100% |
7757
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
26727
317.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9273
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9326
71.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
28266
220.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19433
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19784
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75282
97.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14867
550.6 IPS |
|
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6021
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5845
100.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5902
101.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8557
147.4 IPS |
