INTEL X99E
Geekbench AI Score
7844
Single Precision Score
7921
Half Precision Score
5908
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | May 02 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2010
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3124
581.1 IPS |
|
|
Image Classification (Q)
|
99% |
1809
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5366
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5127
83.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4424
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
59460
69.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32484
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47305
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
4149
329.1 IPS |
|
|
Object Detection (Q)
|
84% |
2385
192.4 IPS |
|
|
Face Detection (SP)
|
100% |
5527
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
8261
98.2 IPS |
|
|
Face Detection (Q)
|
97% |
4900
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17995
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17086
132.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14011
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
95603
122.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54533
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
72990
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14858
548.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12383
457.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9734
360.4 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (Q)
|
97% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2791
48.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1433
26.9 IPS |
