Acer Swift SFX16-61G
Geekbench ML Score
4931
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaoboge |
| Upload Date | February 17 2025 06:11 PM |
| Views | 6 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2586
483.9 IPS |
|
|
Image Classification (F16)
|
100% |
2458
460.0 IPS |
|
|
Image Classification (I8)
|
100% |
2125
397.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2698
45.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2681
44.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2318
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
35826
43.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
36940
44.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27281
33.0 IPS |
|
|
Object Detection (F32)
|
100% |
1570
117.2 IPS |
|
|
Object Detection (F16)
|
100% |
1652
123.4 IPS |
|
|
Object Detection (I8)
|
62% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
5265
62.6 IPS |
|
|
Face Detection (F16)
|
100% |
5281
62.8 IPS |
|
|
Face Detection (I8)
|
89% |
4100
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15341
119.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15652
121.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12028
93.3 IPS |
|
|
Style Transfer (F32)
|
100% |
30489
40.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30614
40.3 IPS |
|
|
Style Transfer (I8)
|
98% |
26345
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5789
206.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5787
206.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4472
159.7 IPS |
|
|
Text Classification (F32)
|
100% |
1382
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1401
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1165
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2197
40.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2231
41.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1480
27.2 IPS |
