Acer Swift SFE14-51T
Geekbench AI Score
3188
Single Precision Score
2221
Half Precision Score
8323
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 18 2026 04:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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 Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (Q)
|
100% |
5292
984.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4939
80.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
13205
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (Q)
|
88% |
5451
437.0 IPS |
|
|
Face Detection (SP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
13951
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4761
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3280
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14332
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10219
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6607
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
37737
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7629
282.5 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
4350
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2845
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3389
58.4 IPS |
