Firebat Computer U6
Geekbench AI Score
3086
Single Precision Score
991
Half Precision Score
7236
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 06:21 AM |
| Views | 2 |
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 | 30.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
97% |
8465
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
24589
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
86% |
8171
656.7 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
97% |
17277
206.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1082
8.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
8648
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14988
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14084
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24209
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3274
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3388
68.1 IPS |
