ASUS All Series
Geekbench AI Score
1609
Single Precision Score
872
Half Precision Score
1672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4690K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. Z97-A |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4690K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
549
102.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
1150
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
3564
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
58% |
1104
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
3483
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3734
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1388
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
3925
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6939
8.92 IPS |
|
|
Style Transfer (HP)
|
100% |
5849
7.52 IPS |
|
|
Style Transfer (Q)
|
87% |
6558
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1298
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
597
796.5 IPS |
|
|
Text Classification (Q)
|
97% |
437
585.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (Q)
|
68% |
1355
26.2 IPS |
