Acer Swift SFG14-63T
Geekbench ML Score
3755
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 06 2024 07:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-63T |
| Motherboard | HWK Manatee_HKH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1983
371.1 IPS |
|
|
Image Classification (F16)
|
100% |
2090
391.2 IPS |
|
|
Image Classification (I8)
|
99% |
4886
914.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1250
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2525
42.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7327
8.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
7429
9.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
25118
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2050
153.1 IPS |
|
|
Object Detection (F16)
|
100% |
2058
153.6 IPS |
|
|
Object Detection (I8)
|
62% |
2083
155.5 IPS |
|
|
Face Detection (F32)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (F16)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (I8)
|
89% |
4958
59.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8052
62.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8105
62.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
16521
128.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16017
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17090
22.5 IPS |
|
|
Style Transfer (I8)
|
98% |
23540
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2872
102.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2974
106.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3605
128.7 IPS |
|
|
Text Classification (F32)
|
100% |
2048
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
2053
2.95 KIPS |
|
|
Text Classification (I8)
|
98% |
379
545.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2181
40.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2171
39.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2726
50.2 IPS |
