ASUS All Series
Geekbench AI Score
1776
Single Precision Score
938
Half Precision Score
1844
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 10:08 PM |
| Views | 2 |
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% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3058
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
3595
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
58% |
1086
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
3394
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3730
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1384
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
3854
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6966
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
5826
7.49 IPS |
|
|
Style Transfer (Q)
|
87% |
6389
8.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1430
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
571
762.7 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1326
25.6 IPS |
