Generic
Geekbench ML Score
2395
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 05:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme6/3.1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6950X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 25.0 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% |
1438
269.1 IPS |
|
|
Image Classification (F16)
|
100% |
1401
262.2 IPS |
|
|
Image Classification (I8)
|
97% |
1929
361.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1243
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1124
18.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1635
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5809
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
7657
9.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
7263
8.80 IPS |
|
|
Object Detection (F32)
|
100% |
1064
79.4 IPS |
|
|
Object Detection (F16)
|
100% |
1074
80.2 IPS |
|
|
Object Detection (I8)
|
60% |
902
67.3 IPS |
|
|
Face Detection (F32)
|
100% |
3142
37.4 IPS |
|
|
Face Detection (F16)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (I8)
|
87% |
3097
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5152
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5067
39.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
7139
55.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16530
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
16432
21.6 IPS |
|
|
Style Transfer (I8)
|
85% |
12257
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1824
65.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1814
64.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1872
66.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
995
1.43 KIPS |
|
|
Text Classification (I8)
|
94% |
245
352.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1441
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1577
29.0 IPS |
