ASUS All Series
Geekbench AI Score
3150
Single Precision Score
1309
Half Precision Score
2688
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | February 03 2025 04:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-5820K |
| 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 Core i7-5820K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2398
445.9 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
96% |
2456
458.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
5797
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
58% |
1629
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
5110
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1830
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5970
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12382
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9633
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11094
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1959
72.6 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.1 IPS |
|
|
Text Classification (Q)
|
97% |
473
633.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1799
34.8 IPS |
