INTEL X99E
Geekbench AI Score
7404
Single Precision Score
7430
Half Precision Score
5705
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | March 03 2025 12:47 PM |
| Views | 4 |
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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.7 IPS |
|
|
Image Classification (Q)
|
99% |
1802
336.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4512
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3885
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
59251
69.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32440
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47238
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
4000
317.3 IPS |
|
|
Object Detection (Q)
|
84% |
2345
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
7825
93.0 IPS |
|
|
Face Detection (Q)
|
97% |
4751
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17924
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17188
132.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14050
112.1 IPS |
|
|
Style Transfer (SP)
|
100% |
95479
122.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55924
71.9 IPS |
|
|
Style Transfer (Q)
|
98% |
73381
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14657
541.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12307
454.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9754
361.2 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2042
35.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1189
22.3 IPS |
