Acer Swift SFE16-43
Geekbench AI Score
6253
Single Precision Score
9285
Half Precision Score
4930
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 11:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFE16-43 |
| Motherboard | PHX Ray_PEU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2611
485.6 IPS |
|
|
Image Classification (HP)
|
100% |
4202
781.4 IPS |
|
|
Image Classification (Q)
|
100% |
2739
509.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2855
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21024
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
54803
63.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19698
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (Q)
|
87% |
2033
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
9440
112.2 IPS |
|
|
Face Detection (Q)
|
97% |
4367
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14451
111.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21416
165.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11011
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53774
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88497
113.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36826
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10623
392.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17453
644.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7543
279.3 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1291
24.2 IPS |
