ASUS All Series
Geekbench AI Score
820
Single Precision Score
810
Half Precision Score
540
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Marix |
| Upload Date | September 20 2024 11:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-4670 |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. H87-PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4670 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
592
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
334
62.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
416
6.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1056
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
967
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
85% |
376
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
742
6.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1401
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1370
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1994
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
472
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.1 IPS |
|
|
Text Classification (Q)
|
92% |
262
352.6 IPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
58% |
261
6.13 IPS |
