ASUS System Product Name
Geekbench AI Score
2712
Single Precision Score
2722
Half Precision Score
7037
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | CSIridges |
| Upload Date | August 17 2025 09:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-13100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | Equilibrado |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
1637
304.4 IPS |
|
|
Image Classification (Q)
|
100% |
4409
819.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4339
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
11006
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (Q)
|
88% |
4670
374.4 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
10405
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3994
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4297
33.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11649
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8605
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8677
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31587
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1867
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6940
257.0 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4070
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2803
48.3 IPS |
