ASUS All Series
Geekbench ML Score
1342
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. B85M-G |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1275 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 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% |
902
168.7 IPS |
|
|
Image Classification (F16)
|
100% |
714
133.6 IPS |
|
|
Image Classification (I8)
|
97% |
951
177.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
10.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
824
13.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2395
2.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2192
2.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
2963
3.59 IPS |
|
|
Object Detection (F32)
|
100% |
818
61.1 IPS |
|
|
Object Detection (F16)
|
100% |
767
57.3 IPS |
|
|
Object Detection (I8)
|
60% |
748
55.8 IPS |
|
|
Face Detection (F32)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (I8)
|
87% |
1787
21.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2897
22.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2814
21.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
3377
26.2 IPS |
|
|
Style Transfer (F32)
|
100% |
6141
8.08 IPS |
|
|
Style Transfer (F16)
|
100% |
6217
8.18 IPS |
|
|
Style Transfer (I8)
|
85% |
5507
7.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1184
42.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1188
42.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1168
41.7 IPS |
|
|
Text Classification (F32)
|
100% |
915
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
933
1.34 KIPS |
|
|
Text Classification (I8)
|
94% |
295
424.4 IPS |
|
|
Machine Translation (F32)
|
100% |
921
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
940
17.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1112
20.5 IPS |
