INTEL X99E
Geekbench AI Score
3216
Single Precision Score
1042
Half Precision Score
2989
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | February 15 2025 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| 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% |
2822
524.8 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
96% |
2844
531.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
1528
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7313
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5429
6.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
7612
9.00 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
58% |
2129
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
5086
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
5126
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7838
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1323
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6681
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15137
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12199
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10608
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1768
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
420
561.1 IPS |
|
|
Text Classification (Q)
|
97% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1638
31.6 IPS |
