Firebat Computer U6
Geekbench AI Score
3068
Single Precision Score
908
Half Precision Score
7272
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 11:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2183
405.9 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
97% |
7579
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6807
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5461
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
25011
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
86% |
7951
639.0 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
97% |
14392
171.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5149
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1091
8.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
14302
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10048
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13932
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21430
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3207
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
1929
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
613
818.5 IPS |
|
|
Text Classification (Q)
|
97% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
65% |
3357
67.5 IPS |
