Acer Swift SFG14-73
Geekbench ML Score
3250
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:17 AM |
| 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% |
1678
313.9 IPS |
|
|
Image Classification (F16)
|
100% |
1671
312.7 IPS |
|
|
Image Classification (I8)
|
99% |
2862
535.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1556
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2661
44.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5822
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
5871
7.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
21360
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
1684
125.7 IPS |
|
|
Object Detection (F16)
|
100% |
1710
127.7 IPS |
|
|
Object Detection (I8)
|
62% |
1532
114.4 IPS |
|
|
Face Detection (F32)
|
100% |
3638
43.3 IPS |
|
|
Face Detection (F16)
|
100% |
3673
43.7 IPS |
|
|
Face Detection (I8)
|
89% |
3641
43.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6385
49.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6237
48.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12468
96.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14163
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14223
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
19161
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2614
93.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2781
99.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4227
151.0 IPS |
|
|
Text Classification (F32)
|
100% |
1132
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1101
1.58 KIPS |
|
|
Text Classification (I8)
|
98% |
435
625.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1774
32.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1830
33.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2758
50.7 IPS |
