Acer Swift SFE14-51T Windows11 OpenVINO CPU Acer Swift SFE14-51T
Geekbench AI Score
2976
Single Precision Score
2047
Half Precision Score
7816
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 03:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFE14-51T |
| Motherboard | LNL Sunfish_LNV |
| Power Plan | Acer |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.4 IPS |
|
|
Image Classification (Q)
|
100% |
5065
941.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4576
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2121
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
11861
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
1191
94.4 IPS |
|
|
Object Detection (Q)
|
88% |
5336
427.7 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
11590
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4156
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2861
22.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12908
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9367
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6338
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
36511
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2111
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7556
279.8 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
4290
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3280
56.5 IPS |
