Intel X99
Geekbench AI Score
4713
Single Precision Score
5237
Half Precision Score
3496
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A310 LP Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99 |
| Power Plan | Ultimate Performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2495
464.1 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.2 IPS |
|
|
Image Classification (Q)
|
99% |
2188
408.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4137
67.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1814
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19928
23.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
18025
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15579
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2892
229.4 IPS |
|
|
Object Detection (HP)
|
99% |
3258
259.2 IPS |
|
|
Object Detection (Q)
|
85% |
2462
198.1 IPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (Q)
|
97% |
3912
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11533
88.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12565
97.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8780
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40429
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40334
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28322
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8709
321.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4161
154.1 IPS |
|
|
Text Classification (SP)
|
86% |
687
928.9 IPS |
|
|
Text Classification (HP)
|
100% |
682
910.1 IPS |
|
|
Text Classification (Q)
|
84% |
513
696.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1681
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
70% |
863
16.2 IPS |
