INTEL X99
Geekbench AI Score
1795
Single Precision Score
1874
Half Precision Score
1384
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v3 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.8 IPS |
|
|
Image Classification (Q)
|
99% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8281
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5248
6.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
6969
8.17 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
935
74.1 IPS |
|
|
Object Detection (Q)
|
83% |
502
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
956
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3567
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3402
26.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
2943
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15630
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9817
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12689
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3205
118.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2653
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2167
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.1 IPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
453
607.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1207
20.9 IPS |
|
|
Machine Translation (Q)
|
70% |
610
11.4 IPS |
