Acer Swift SFE14-51T Ubuntu25 banff_avx2 TensorFlow CPU Acer Swift SFE14-51T
Geekbench AI Score
2143
Single Precision Score
2153
Half Precision Score
1533
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 01:55 AM |
| Views | 17 |
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% |
1513
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
99% |
1025
191.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
3034
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (Q)
|
85% |
1144
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2398
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2687
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2694
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1998
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4019
5.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4032
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
5764
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1618
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1632
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1450
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
677
909.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (Q)
|
58% |
690
16.2 IPS |
