Acer Swift SFG14-73T
Geekbench ML Score
3121
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:54 PM |
| Views | 3 |
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% |
1605
300.4 IPS |
|
|
Image Classification (F16)
|
100% |
1552
290.4 IPS |
|
|
Image Classification (I8)
|
99% |
2773
518.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1485
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2310
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5763
6.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
5577
6.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
20276
24.6 IPS |
|
|
Object Detection (F32)
|
100% |
1652
123.3 IPS |
|
|
Object Detection (F16)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (I8)
|
62% |
1417
105.8 IPS |
|
|
Face Detection (F32)
|
100% |
3529
42.0 IPS |
|
|
Face Detection (F16)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (I8)
|
89% |
3554
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6413
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6395
49.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
12611
97.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13776
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13825
18.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18456
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2623
93.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2580
92.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4233
151.2 IPS |
|
|
Text Classification (F32)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1054
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
436
626.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1669
30.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2477
45.6 IPS |
