System manufacturer System Product Name
Geekbench ML Score
487
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | November 05 2024 12:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 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 | 4.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
313
58.6 IPS |
|
|
Image Classification (F16)
|
100% |
289
54.1 IPS |
|
|
Image Classification (I8)
|
96% |
321
60.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
292
4.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
297
4.96 IPS |
|
|
Image Segmentation (I8)
|
97% |
300
5.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
606
0.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
633
0.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
651
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
323
24.1 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
62% |
283
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
790
9.39 IPS |
|
|
Face Detection (F16)
|
100% |
747
8.88 IPS |
|
|
Face Detection (I8)
|
87% |
674
8.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
808
6.26 IPS |
|
|
Depth Estimation (F16)
|
100% |
770
5.97 IPS |
|
|
Depth Estimation (I8)
|
74% |
817
6.34 IPS |
|
|
Style Transfer (F32)
|
100% |
1659
2.18 IPS |
|
|
Style Transfer (F16)
|
100% |
1432
1.88 IPS |
|
|
Style Transfer (I8)
|
85% |
1498
1.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
404
14.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
404
14.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
385
13.8 IPS |
|
|
Text Classification (F32)
|
100% |
310
445.5 IPS |
|
|
Text Classification (F16)
|
100% |
314
450.9 IPS |
|
|
Text Classification (I8)
|
94% |
201
288.2 IPS |
|
|
Machine Translation (F32)
|
100% |
569
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (I8)
|
67% |
331
6.09 IPS |
