INTEL X99
Geekbench AI Score
2791
Single Precision Score
881
Half Precision Score
3339
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2683 v3 |
| 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% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
2583
482.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
4431
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10230
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4423
5.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
11403
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.2 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
2282
249.3 IPS |
|
|
Face Detection (SP)
|
100% |
5253
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.63 IPS |
|
|
Face Detection (Q)
|
96% |
5280
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7146
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
7836
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17944
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10761
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
9463
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2525
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
600
800.9 IPS |
|
|
Text Classification (HP)
|
100% |
317
422.5 IPS |
|
|
Text Classification (Q)
|
97% |
442
592.0 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1325
25.6 IPS |
