Acer Swift SFE14-51T Ubuntu25 banff_avx2 OpenVINO CPU Acer Swift SFE14-51T
Geekbench AI Score
3259
Single Precision Score
2269
Half Precision Score
8866
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 03:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1872
348.2 IPS |
|
|
Image Classification (HP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (Q)
|
100% |
5712
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6024
97.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
12820
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
88% |
5817
466.3 IPS |
|
|
Face Detection (SP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
14125
167.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4640
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3228
24.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15039
116.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9936
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6568
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
37608
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8034
297.5 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
4871
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3741
64.4 IPS |
