Acer Swift SFE14-51T Ubuntu25 banff CPU Acer Swift SFE14-51T
Geekbench AI Score
2110
Single Precision Score
2122
Half Precision Score
1511
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 03:40 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% |
1481
275.5 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (Q)
|
99% |
985
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1150
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
2935
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (Q)
|
85% |
1130
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (Q)
|
97% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2634
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2548
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2005
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4013
5.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4021
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
5689
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1427
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
659
885.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (Q)
|
58% |
648
15.2 IPS |
