Acer Swift SFX16-61G
Geekbench AI Score
13995
Single Precision Score
23976
Half Precision Score
11146
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaoboge |
| Upload Date | February 17 2025 06:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Acer Swift SFX16-61G |
| Motherboard | PHX Ariya_PEH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5562
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
10229
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
5032
938.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9806
159.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13883
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8916
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
64817
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
203817
237.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
58173
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
7203
571.3 IPS |
|
|
Object Detection (HP)
|
100% |
12377
981.7 IPS |
|
|
Object Detection (Q)
|
84% |
6477
522.4 IPS |
|
|
Face Detection (SP)
|
100% |
15303
181.8 IPS |
|
|
Face Detection (HP)
|
100% |
25400
301.8 IPS |
|
|
Face Detection (Q)
|
97% |
14024
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33258
256.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64375
496.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26679
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
110183
141.6 IPS |
|
|
Style Transfer (HP)
|
100% |
277097
356.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97571
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23182
856.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37225
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17301
640.6 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3053
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1686
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1645
30.8 IPS |
