INTEL X99E
Geekbench AI Score
7344
Single Precision Score
7468
Half Precision Score
5630
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | February 15 2025 06:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | INTEL X99E |
| Motherboard | INTEL X99E |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
3045
566.2 IPS |
|
|
Image Classification (Q)
|
99% |
1778
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4493
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4327
70.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3863
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
58205
67.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31855
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46548
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (Q)
|
84% |
2308
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
97% |
4675
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17813
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16886
130.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13848
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
94301
121.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54791
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72111
93.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14723
543.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12125
447.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9718
359.8 IPS |
|
|
Text Classification (SP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
97% |
822
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2037
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1164
21.8 IPS |
