ASUS 16gb 2400mh RX590 gme ASUS All Series
Geekbench AI Score
1609
Single Precision Score
893
Half Precision Score
1539
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zanad400 |
| Upload Date | September 11 2024 05:43 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4670K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VI HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4670K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
96% |
1085
202.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2400
2.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
3416
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1013
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
86% |
851
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
2113
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3260
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1319
10.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2636
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6792
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
5514
7.09 IPS |
|
|
Style Transfer (Q)
|
87% |
6669
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1382
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
1180
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
525
700.6 IPS |
|
|
Text Classification (Q)
|
97% |
398
532.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1082
24.1 IPS |
