INTEL X99
Geekbench ML Score
2277
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 09:12 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v4 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 256 KB x 16 |
| L3 Cache | 40.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1184
221.5 IPS |
|
|
Image Classification (F16)
|
100% |
1174
219.7 IPS |
|
|
Image Classification (I8)
|
97% |
1486
278.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
940
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
947
15.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1356
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12820
15.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
12829
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12181
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1102
82.3 IPS |
|
|
Object Detection (F16)
|
100% |
1103
82.3 IPS |
|
|
Object Detection (I8)
|
60% |
897
66.9 IPS |
|
|
Face Detection (F32)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (I8)
|
87% |
1988
23.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6355
49.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6244
48.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
7432
57.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20104
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
20436
26.9 IPS |
|
|
Style Transfer (I8)
|
85% |
9000
11.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2010
71.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1985
70.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1943
69.4 IPS |
|
|
Text Classification (F32)
|
100% |
841
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (I8)
|
94% |
223
320.4 IPS |
|
|
Machine Translation (F32)
|
100% |
944
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1319
24.3 IPS |
