ASUS System Product Name
Geekbench AI Score
3656
Single Precision Score
3659
Half Precision Score
8262
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 06 2025 08:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-13100 |
| 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 Core i3-13100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
100% |
5029
935.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4881
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3959
4.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
14408
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (Q)
|
88% |
5242
420.2 IPS |
|
|
Face Detection (SP)
|
100% |
6368
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
6404
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
11863
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5452
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5471
42.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13594
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11727
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11735
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39441
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8089
299.6 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4124
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3771
65.0 IPS |
