ASUSTeK COMPUTER INC. Z9PE-D8 WS
Geekbench AI Score
1084
Single Precision Score
472
Half Precision Score
1209
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 19 2024 12:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
| Model | ASUSTeK COMPUTER INC. Z9PE-D8 WS |
| Motherboard | ASUSTeK COMPUTER INC. Z9PE-D8 WS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v2 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
819
152.4 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
96% |
1248
233.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1607
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1534
1.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
2690
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
58% |
895
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (Q)
|
96% |
2505
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2302
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
2605
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4205
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3875
4.98 IPS |
|
|
Style Transfer (Q)
|
87% |
4747
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.7 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.6 IPS |
|
|
Text Classification (Q)
|
97% |
176
235.9 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (Q)
|
68% |
708
13.7 IPS |
