Wortmann_AG TERRA_PC
Geekbench AI Score
899
Single Precision Score
478
Half Precision Score
878
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 29 2024 10:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2637 v2 |
| 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 E5-2637 v2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
712
132.5 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
96% |
698
130.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
553
8.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
1323
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.3 IPS |
|
|
Object Detection (Q)
|
58% |
476
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
96% |
1604
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
724
5.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
1477
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2557
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2071
2.66 IPS |
|
|
Style Transfer (Q)
|
87% |
3084
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
677
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
559
746.1 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.4 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
68% |
808
15.6 IPS |
