ASUS All Series
Geekbench AI Score
1360
Single Precision Score
694
Half Precision Score
1314
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mechanana |
| Upload Date | June 13 2025 02:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i4-4690T |
| 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% |
994
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
96% |
1123
209.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1845
2.15 IPS |
|
|
Pose Estimation (Q)
|
86% |
2454
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
762
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
1864
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
96% |
2471
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2608
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
2685
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5128
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
4161
5.35 IPS |
|
|
Style Transfer (Q)
|
87% |
5065
6.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
408
544.2 IPS |
|
|
Text Classification (Q)
|
97% |
295
395.8 IPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1029
19.9 IPS |
