Acer Swift SFE14-51T Fedora43 banff_avx2 ONNX CPU Acer Swift SFE14-51T
Geekbench AI Score
2896
Single Precision Score
882
Half Precision Score
7053
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 04:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
97% |
6168
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
3333
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
18234
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
86% |
5813
467.2 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (Q)
|
97% |
14813
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
13905
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11505
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8730
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27213
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4596
170.2 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
624
833.3 IPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3174
63.8 IPS |
