Acer Swift SFE14-51T Ubuntu25 banff_avx2 OpenVINO GPU Acer Swift SFE14-51T
Geekbench AI Score
12589
Single Precision Score
34890
Half Precision Score
42450
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | diegotomc |
| Upload Date | March 28 2026 02:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
8201
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
17609
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
23125
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10128
164.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28746
466.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
34445
560.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25216
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
141813
165.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
289202
338.6 IPS |
|
|
Object Detection (SP)
|
100% |
7059
559.9 IPS |
|
|
Object Detection (HP)
|
100% |
20667
1.64 KIPS |
|
|
Object Detection (Q)
|
88% |
27831
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
15759
187.2 IPS |
|
|
Face Detection (HP)
|
100% |
39047
464.0 IPS |
|
|
Face Detection (Q)
|
100% |
58234
691.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26212
201.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68546
528.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
81230
631.7 IPS |
|
|
Style Transfer (SP)
|
100% |
62472
80.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233925
300.7 IPS |
|
|
Style Transfer (Q)
|
98% |
341715
440.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10783
398.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39383
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48456
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (HP)
|
100% |
8045
10.7 KIPS |
|
|
Text Classification (Q)
|
92% |
4334
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9085
157.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8732
150.4 IPS |
