INTEL
Geekbench AI Score
2164
Single Precision Score
520
Half Precision Score
2140
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | edurocha23 |
| Upload Date | August 20 2024 03:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL |
| Motherboard | INTEL X99-H5 |
| Power Plan | Equilibrado |
| 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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (Q)
|
97% |
1696
316.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4729
5.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
7270
8.59 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
86% |
1126
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
168
1.99 IPS |
|
|
Face Detection (Q)
|
96% |
1926
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5181
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
566
4.36 IPS |
|
|
Depth Estimation (Q)
|
76% |
4149
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13089
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11194
14.4 IPS |
|
|
Style Transfer (Q)
|
87% |
7809
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1695
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
369
492.6 IPS |
|
|
Text Classification (Q)
|
97% |
744
996.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1256
28.0 IPS |
