ASUSTeK COMPUTER INC. Z10PE-D16 Series
Geekbench AI Score
2542
Single Precision Score
898
Half Precision Score
2019
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2698 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | ASUSTeK COMPUTER INC. Z10PE-D16 Series |
| Motherboard | ASUSTeK COMPUTER INC. Z10PE-D16 Series |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v3 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1535
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13437
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5095
5.95 IPS |
|
|
Pose Estimation (Q)
|
87% |
12572
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
1052
84.6 IPS |
|
|
Face Detection (SP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
2162
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6468
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
3987
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21703
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11539
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
10084
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2035
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1820
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
331
441.1 IPS |
|
|
Text Classification (Q)
|
97% |
236
315.6 IPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
60% |
995
22.2 IPS |
