INTEL X99E
Geekbench AI Score
7365
Single Precision Score
7332
Half Precision Score
5656
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | March 03 2025 12:45 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% |
1976
367.5 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.2 IPS |
|
|
Image Classification (Q)
|
99% |
1776
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4530
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4274
69.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3874
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
58734
68.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32217
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
46605
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (Q)
|
84% |
2319
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
5272
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (Q)
|
97% |
4686
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17910
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16931
130.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13939
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
94603
121.6 IPS |
|
|
Style Transfer (HP)
|
100% |
55229
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
72618
93.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14634
540.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12077
446.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9666
357.9 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2045
35.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1183
22.2 IPS |
