Acer Swift SFG14-73T
Geekbench ML Score
3132
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 07:52 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-73T |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1570
293.8 IPS |
|
|
Image Classification (F16)
|
100% |
1507
282.0 IPS |
|
|
Image Classification (I8)
|
99% |
2791
522.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1507
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2365
39.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5780
7.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
5749
6.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
21276
25.8 IPS |
|
|
Object Detection (F32)
|
100% |
1690
126.2 IPS |
|
|
Object Detection (F16)
|
100% |
1676
125.1 IPS |
|
|
Object Detection (I8)
|
62% |
1463
109.2 IPS |
|
|
Face Detection (F32)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (F16)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (I8)
|
89% |
3502
41.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6454
50.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6380
49.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12184
94.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14053
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14237
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
18439
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2593
92.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2601
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4013
143.3 IPS |
|
|
Text Classification (F32)
|
100% |
1109
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1086
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
438
629.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1653
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1648
30.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2489
45.8 IPS |
