Acer Swift SFX16-61G
Geekbench AI Score
7385
Single Precision Score
10780
Half Precision Score
5583
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaoboge |
| Upload Date | February 17 2025 06:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| 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% |
2860
531.9 IPS |
|
|
Image Classification (HP)
|
100% |
4620
859.1 IPS |
|
|
Image Classification (Q)
|
100% |
2446
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3844
62.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4361
70.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3104
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41295
48.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
75170
87.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29364
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
3664
290.7 IPS |
|
|
Object Detection (Q)
|
87% |
2352
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
9848
117.0 IPS |
|
|
Face Detection (Q)
|
97% |
4952
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16959
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25407
195.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12778
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
67760
87.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115430
148.4 IPS |
|
|
Style Transfer (Q)
|
98% |
47570
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11562
426.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18911
698.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7928
293.6 IPS |
|
|
Text Classification (SP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1592
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2859
49.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1479
27.7 IPS |
