ASUS All Series
Geekbench AI Score
801
Single Precision Score
795
Half Precision Score
607
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Septal8Z |
| Upload Date | March 05 2026 11:04 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4770K |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. Z87-PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
407
75.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
456
7.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
1031
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
85% |
442
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
971
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
863
6.65 IPS |
|
|
Depth Estimation (Q)
|
63% |
830
7.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1149
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1155
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1983
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
313
420.4 IPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
58% |
281
6.60 IPS |
