Acer Swift SFE14-51T Fedora43 banff_avx2 TensorFlow CPU Acer Swift SFE14-51T
Geekbench AI Score
2070
Single Precision Score
2080
Half Precision Score
1485
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 03:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Acer Swift SFE14-51T |
| Motherboard | LNL Sunfish_LNV |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1491
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
1443
268.4 IPS |
|
|
Image Classification (Q)
|
99% |
959
178.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2446
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
2974
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (Q)
|
85% |
979
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
2282
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2598
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1893
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4025
5.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4009
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5768
7.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
664
892.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (Q)
|
58% |
696
16.3 IPS |
