Acer Swift SFE14-51T Ubuntu25 banff_avx2 --ai TensorFlow CPU Acer Swift SFE14-51T
Geekbench AI Score
1775
Single Precision Score
1848
Half Precision Score
1311
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 02:31 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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 | 30.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.3 IPS |
|
|
Image Classification (Q)
|
99% |
859
160.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1172
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2492
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
2854
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
85% |
761
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2512
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
2059
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2266
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2345
18.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1706
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3699
4.76 IPS |
|
|
Style Transfer (Q)
|
98% |
5334
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1322
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
495
664.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (Q)
|
58% |
563
13.2 IPS |
