INTEL X99E
Geekbench AI Score
7339
Single Precision Score
7397
Half Precision Score
5629
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | March 03 2025 12:38 PM |
| Views | 2 |
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% |
1965
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.5 IPS |
|
|
Image Classification (Q)
|
99% |
1769
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4390
71.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3895
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
58452
68.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31943
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46560
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (Q)
|
84% |
2310
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
5262
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
7680
91.3 IPS |
|
|
Face Detection (Q)
|
97% |
4657
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17947
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16968
131.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13890
110.9 IPS |
|
|
Style Transfer (SP)
|
100% |
94687
121.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55037
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
72236
93.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14512
535.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11994
442.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9652
357.4 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1656
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
823
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2069
35.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1163
21.8 IPS |
