ASUS All Series
Geekbench AI Score
1878
Single Precision Score
1970
Half Precision Score
1431
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mechanana |
| Upload Date | June 13 2025 02:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| 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% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.7 IPS |
|
|
Image Classification (Q)
|
99% |
388
72.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
928
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8441
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
7147
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (Q)
|
83% |
522
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
987
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3683
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3507
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
3041
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16115
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10175
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13084
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3269
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2229
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
546
731.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1275
22.1 IPS |
|
|
Machine Translation (Q)
|
70% |
563
10.6 IPS |
