OEM X99-Turbo
Geekbench AI Score
3018
Single Precision Score
1151
Half Precision Score
2883
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 04:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2666 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OEM X99-Turbo |
| Motherboard | OEM X99-Turbo |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2666 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2791
519.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
96% |
2769
517.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
2704
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5794
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4650
5.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
6889
8.14 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
58% |
1795
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
4997
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7219
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6264
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12938
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10813
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
9806
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2146
79.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2620
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
520
693.9 IPS |
|
|
Text Classification (Q)
|
97% |
312
417.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (Q)
|
68% |
1710
33.0 IPS |
