ASUS All Series
Geekbench AI Score
2960
Single Precision Score
1042
Half Precision Score
2695
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | February 10 2025 10:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-DELUXE II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1824
339.1 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.8 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4326
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4224
4.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
7777
9.19 IPS |
|
|
Object Detection (SP)
|
100% |
2016
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
58% |
2015
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
6579
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5219
62.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8479
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7118
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16170
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12625
16.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12123
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.7 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1559
30.1 IPS |
