Acer Swift SFG14-73
Geekbench ML Score
3229
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 04:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_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% |
1695
317.2 IPS |
|
|
Image Classification (F16)
|
100% |
1621
303.4 IPS |
|
|
Image Classification (I8)
|
99% |
2944
550.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2545
42.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5908
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
5911
7.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
21179
25.6 IPS |
|
|
Object Detection (F32)
|
100% |
1718
128.3 IPS |
|
|
Object Detection (F16)
|
100% |
1701
127.0 IPS |
|
|
Object Detection (I8)
|
62% |
1450
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
3706
44.1 IPS |
|
|
Face Detection (F16)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (I8)
|
89% |
3651
43.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6094
47.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6089
47.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12388
96.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14011
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14164
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
19216
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2704
96.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2815
100.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4406
157.3 IPS |
|
|
Text Classification (F32)
|
100% |
1110
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1110
1.59 KIPS |
|
|
Text Classification (I8)
|
98% |
433
622.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1726
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1789
32.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2707
49.8 IPS |
