ASUS All Series
Geekbench AI Score
3237
Single Precision Score
1343
Half Precision Score
2752
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | February 07 2025 03:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v3 |
| 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 E5-1650 v3 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2461
457.6 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.7 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
1545
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4452
5.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
5946
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (Q)
|
58% |
1670
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
5439
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
5212
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6797
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6080
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12618
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9874
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
11378
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1990
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
664
885.8 IPS |
|
|
Text Classification (Q)
|
97% |
485
649.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1855
35.8 IPS |
