INTEL X99E
Geekbench AI Score
2547
Single Precision Score
975
Half Precision Score
2277
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | November 16 2024 03:40 AM |
| Views | 8 |
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 | High 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
1519
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6953
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5223
6.09 IPS |
|
|
Pose Estimation (Q)
|
87% |
7496
8.85 IPS |
|
|
Object Detection (SP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
1172
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
2274
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6162
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1252
9.64 IPS |
|
|
Depth Estimation (Q)
|
77% |
4157
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14609
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11732
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
9942
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2175
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1755
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
382
509.7 IPS |
|
|
Text Classification (Q)
|
97% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1300
29.0 IPS |
