System manufacturer System Product Name
Geekbench ML Score
697
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 07 2024 07:24 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B250 MINING EXPERT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-7350K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 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 | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
410
76.7 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.8 IPS |
|
|
Image Classification (I8)
|
97% |
618
115.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
270
4.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
317
5.29 IPS |
|
|
Image Segmentation (I8)
|
97% |
439
7.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
996
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
1227
1.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
1585
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
306
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
60% |
437
32.6 IPS |
|
|
Face Detection (F32)
|
100% |
553
6.58 IPS |
|
|
Face Detection (F16)
|
100% |
578
6.87 IPS |
|
|
Face Detection (I8)
|
87% |
926
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1333
10.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1159
8.98 IPS |
|
|
Depth Estimation (I8)
|
74% |
1792
13.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2344
3.08 IPS |
|
|
Style Transfer (F16)
|
100% |
2934
3.86 IPS |
|
|
Style Transfer (I8)
|
85% |
3165
4.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
528
18.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
672
24.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
997
35.6 IPS |
|
|
Text Classification (F32)
|
100% |
443
636.0 IPS |
|
|
Text Classification (F16)
|
100% |
424
609.6 IPS |
|
|
Text Classification (I8)
|
94% |
265
380.5 IPS |
|
|
Machine Translation (F32)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (I8)
|
67% |
617
11.4 IPS |
