Acer Swift SFG16-72T
Geekbench ML Score
3288
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 03 2024 03:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG16-72T |
| Motherboard | MTL Pipefish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1689
316.1 IPS |
|
|
Image Classification (F16)
|
100% |
1739
325.3 IPS |
|
|
Image Classification (I8)
|
99% |
2865
536.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1532
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1542
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2688
44.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6136
7.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
6102
7.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
21027
25.5 IPS |
|
|
Object Detection (F32)
|
100% |
1733
129.4 IPS |
|
|
Object Detection (F16)
|
100% |
1719
128.3 IPS |
|
|
Object Detection (I8)
|
62% |
1488
111.1 IPS |
|
|
Face Detection (F32)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (F16)
|
100% |
3773
44.9 IPS |
|
|
Face Detection (I8)
|
89% |
3745
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6659
51.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6554
50.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
12913
100.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15026
19.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15006
19.7 IPS |
|
|
Style Transfer (I8)
|
98% |
18943
24.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2690
96.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2813
100.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4122
147.2 IPS |
|
|
Text Classification (F32)
|
100% |
1105
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1044
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
431
620.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1756
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1808
33.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2716
50.0 IPS |
