Wortmann_AG TERRA_PC
Geekbench AI Score
502
Single Precision Score
327
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 31 2024 01:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2637 |
| 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 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.3 IPS |
|
|
Image Classification (Q)
|
96% |
352
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
315
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
583
0.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
686
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
58% |
207
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
96% |
757
9.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
661
5.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1364
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1152
1.48 IPS |
|
|
Style Transfer (Q)
|
87% |
1330
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
356
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
387
517.1 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.8 IPS |
|
|
Text Classification (Q)
|
97% |
200
268.5 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (Q)
|
68% |
431
8.34 IPS |
