ASUSTeK COMPUTER INC. Z10PE-D16 Series
Geekbench AI Score
3829
Single Precision Score
3881
Half Precision Score
3708
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz |
| 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% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.5 IPS |
|
|
Image Classification (Q)
|
100% |
2529
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3115
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7066
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7260
8.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
8743
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2748
217.9 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
87% |
2707
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
6629
78.8 IPS |
|
|
Face Detection (Q)
|
97% |
8838
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7482
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7594
58.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
8992
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21350
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22507
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25188
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4289
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4717
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.8 IPS |
|
|
Text Classification (HP)
|
100% |
546
728.4 IPS |
|
|
Text Classification (Q)
|
91% |
160
215.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1749
30.1 IPS |
