Acer Swift SFG14-71
Geekbench AI Score
3576
Single Precision Score
4893
Half Precision Score
7896
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 01:09 AM |
| Views | 4 |
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 SFG14-71 |
| Motherboard | RPL Coral_RTH |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (HP)
|
100% |
3089
574.4 IPS |
|
|
Image Classification (Q)
|
99% |
4818
898.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3285
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5354
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7710
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7343
8.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
5381
6.28 IPS |
|
|
Pose Estimation (Q)
|
97% |
24789
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (HP)
|
100% |
3054
242.2 IPS |
|
|
Object Detection (Q)
|
90% |
4634
370.5 IPS |
|
|
Face Detection (SP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
8952
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
13976
166.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7156
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12039
93.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
16107
125.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18639
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29540
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
52846
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3027
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9782
362.3 IPS |
|
|
Text Classification (SP)
|
71% |
1122
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1264
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1559
27.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1559
26.8 IPS |
