Wortmann_AG TERRA_PC
Geekbench AI Score
1451
Single Precision Score
570
Half Precision Score
1146
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 01 2025 02:18 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2670 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
| Model | Wortmann_AG TERRA_PC |
| Motherboard | ASUSTeK COMPUTER INC. P9X79 WS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
96% |
953
178.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
2068
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
58% |
676
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (Q)
|
96% |
2319
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2771
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
881
6.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
2289
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5128
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
4067
5.23 IPS |
|
|
Style Transfer (Q)
|
87% |
4465
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
896
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
603
805.0 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.3 IPS |
|
|
Text Classification (Q)
|
97% |
241
323.2 IPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
68% |
897
17.3 IPS |
