ASUS System Product Name
Geekbench AI Score
1487
Single Precision Score
906
Half Precision Score
2803
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 04 2025 07:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) 300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) 300 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
965
179.4 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
99% |
2207
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1437
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1437
1.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
6157
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
1789
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
4012
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2438
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1245
9.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
5745
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4297
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3360
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
10673
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2933
108.6 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
659
880.1 IPS |
|
|
Text Classification (Q)
|
97% |
527
705.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2258
45.4 IPS |
