Acer Aspire M3920
Geekbench ML Score
299
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | paisarn |
| Upload Date | May 08 2024 01:40 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer Aspire M3920 |
| Motherboard | Acer Aspire M3920 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 10.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
166
31.0 IPS |
|
|
Image Classification (F16)
|
100% |
148
27.6 IPS |
|
|
Image Classification (I8)
|
96% |
172
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
140
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (I8)
|
97% |
187
3.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
397
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
394
0.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
436
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
198
14.8 IPS |
|
|
Object Detection (F16)
|
100% |
196
14.6 IPS |
|
|
Object Detection (I8)
|
62% |
181
13.5 IPS |
|
|
Face Detection (F32)
|
100% |
423
5.03 IPS |
|
|
Face Detection (F16)
|
100% |
424
5.05 IPS |
|
|
Face Detection (I8)
|
87% |
396
4.71 IPS |
|
|
Depth Estimation (F32)
|
100% |
537
4.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
520
4.03 IPS |
|
|
Depth Estimation (I8)
|
74% |
493
3.83 IPS |
|
|
Style Transfer (F32)
|
100% |
1010
1.33 IPS |
|
|
Style Transfer (F16)
|
100% |
1053
1.38 IPS |
|
|
Style Transfer (I8)
|
85% |
886
1.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
249
8.91 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
251
8.96 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
242
8.64 IPS |
|
|
Text Classification (F32)
|
100% |
212
305.1 IPS |
|
|
Text Classification (F16)
|
100% |
225
323.8 IPS |
|
|
Text Classification (I8)
|
94% |
139
199.5 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.85 IPS |
|
|
Machine Translation (F16)
|
100% |
337
6.20 IPS |
|
|
Machine Translation (I8)
|
67% |
198
3.64 IPS |
