Acer Swift SF14-51T
Geekbench AI Score
3169
Single Precision Score
2161
Half Precision Score
8228
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EddieMIT |
| Upload Date | September 19 2025 12:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SF14-51T |
| Motherboard | LNL Icefish_LNV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1913
355.8 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
100% |
5253
977.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4887
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3404
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
13104
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (Q)
|
88% |
5464
438.0 IPS |
|
|
Face Detection (SP)
|
100% |
5601
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
13716
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4737
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3220
24.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14188
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10203
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6555
8.43 IPS |
|
|
Style Transfer (Q)
|
98% |
36146
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7639
282.9 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4393
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3280
56.5 IPS |
