ASUS All Series
Geekbench AI Score
1769
Single Precision Score
1808
Half Precision Score
1974
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mechanana |
| Upload Date | June 13 2025 03:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4690T CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. Z97I-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i4-4690T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1065
198.1 IPS |
|
|
Image Classification (HP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (Q)
|
100% |
1245
231.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1407
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
2604
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
1081
85.8 IPS |
|
|
Object Detection (Q)
|
87% |
1258
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2279
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
3343
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2740
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2801
21.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3234
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6328
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
6354
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
7382
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1542
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (Q)
|
91% |
740
994.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1723
29.7 IPS |
