INTEL X99
Geekbench ML Score
2414
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 26 2024 08:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v4 |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| L1 Instruction Cache | 32.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| L2 Cache | 256 KB x 22 |
| L3 Cache | 55.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1144
214.1 IPS |
|
|
Image Classification (F16)
|
100% |
1133
212.0 IPS |
|
|
Image Classification (I8)
|
97% |
1515
283.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
989
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
16.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1501
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14468
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15802
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16780
20.3 IPS |
|
|
Object Detection (F32)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (F16)
|
100% |
1087
81.2 IPS |
|
|
Object Detection (I8)
|
60% |
938
70.0 IPS |
|
|
Face Detection (F32)
|
100% |
1922
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (I8)
|
87% |
2133
25.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6420
49.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6491
50.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
8310
64.4 IPS |
|
|
Style Transfer (F32)
|
100% |
23773
31.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23946
31.5 IPS |
|
|
Style Transfer (I8)
|
85% |
9817
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2075
74.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2079
74.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2078
74.2 IPS |
|
|
Text Classification (F32)
|
100% |
832
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
843
1.21 KIPS |
|
|
Text Classification (I8)
|
94% |
249
358.5 IPS |
|
|
Machine Translation (F32)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1383
25.5 IPS |
