ASUS System Product Name
Geekbench AI Score
3809
Single Precision Score
3813
Half Precision Score
8654
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 05 2025 10:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-14100 |
| 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 i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2275
423.0 IPS |
|
|
Image Classification (HP)
|
100% |
2274
422.8 IPS |
|
|
Image Classification (Q)
|
100% |
5264
979.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5209
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4135
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4135
4.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
15074
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (Q)
|
88% |
5494
440.4 IPS |
|
|
Face Detection (SP)
|
100% |
6650
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
6646
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
12291
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5739
44.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14275
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12287
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12270
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41472
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2601
96.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2609
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8486
314.3 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4319
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3894
67.1 IPS |
