BULL SA10
Geekbench AI Score
1042
Single Precision Score
954
Half Precision Score
876
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 25 2025 05:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7763 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | BULL SA10 |
| Motherboard | GIGABYTE MZ32-AR0-00 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7763 |
| Topology | 1 Processor, 64 Cores |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.8 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
1012
188.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
1992
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
4394
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (HP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
85% |
450
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
752
8.93 IPS |
|
|
Face Detection (HP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
1006
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
879
6.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
1382
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2359
3.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2268
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3955
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.5 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.2 IPS |
|
|
Text Classification (Q)
|
92% |
100
134.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
58% |
386
9.05 IPS |
