Acer Swift SF314-71
Geekbench AI Score
2464
Single Precision Score
2389
Half Precision Score
1555
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | April 01 2026 05:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1049
195.0 IPS |
|
|
Image Classification (HP)
|
100% |
1102
204.9 IPS |
|
|
Image Classification (Q)
|
100% |
887
164.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1173
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8808
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4793
5.61 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
98% |
1032
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
1011
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1743
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4641
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4829
37.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3064
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19393
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23062
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12772
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2758
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
315
421.0 IPS |
|
|
Text Classification (Q)
|
97% |
441
590.2 IPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
70% |
444
8.33 IPS |
