Acer Swift SF314-71
Geekbench AI Score
3765
Single Precision Score
5158
Half Precision Score
8222
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | April 01 2026 05:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF314-71 |
| Motherboard | ADL Starfish_ADH |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2254
419.2 IPS |
|
|
Image Classification (HP)
|
100% |
3494
649.7 IPS |
|
|
Image Classification (Q)
|
99% |
4948
922.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3442
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5249
85.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6701
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7463
8.71 IPS |
|
|
Pose Estimation (HP)
|
99% |
5500
6.42 IPS |
|
|
Pose Estimation (Q)
|
97% |
25132
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (Q)
|
90% |
5307
424.3 IPS |
|
|
Face Detection (SP)
|
100% |
6244
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
9576
113.8 IPS |
|
|
Face Detection (Q)
|
100% |
14019
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7643
58.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12023
92.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15451
120.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19949
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25259
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
55970
72.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3121
115.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10560
391.1 IPS |
|
|
Text Classification (SP)
|
71% |
1140
1.65 KIPS |
|
|
Text Classification (HP)
|
71% |
1532
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1298
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1953
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1923
33.2 IPS |
