INTEL X99E
Geekbench AI Score
7411
Single Precision Score
7424
Half Precision Score
5705
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | March 03 2025 12:51 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3069
570.7 IPS |
|
|
Image Classification (Q)
|
99% |
1803
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4596
74.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4351
70.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3864
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
59208
69.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32546
38.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47010
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
3976
315.4 IPS |
|
|
Object Detection (Q)
|
84% |
2354
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
7790
92.6 IPS |
|
|
Face Detection (Q)
|
97% |
4762
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18138
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17236
133.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14090
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
95637
122.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56340
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
73710
95.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14748
544.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12343
455.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9786
362.4 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2018
34.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1174
22.0 IPS |
