ASUS System Product Name
Geekbench AI Score
2102
Single Precision Score
3329
Half Precision Score
4836
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | CSIridges |
| Upload Date | August 17 2025 09:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| 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% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
99% |
3175
592.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3390
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3768
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
2697
3.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
9227
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
99% |
2034
161.4 IPS |
|
|
Object Detection (Q)
|
90% |
3258
260.5 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6550
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
7951
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3972
30.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7054
54.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9119
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9028
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13900
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22737
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
177.1 IPS |
|
|
Text Classification (SP)
|
71% |
1004
1.45 KIPS |
|
|
Text Classification (HP)
|
71% |
1237
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1309
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1881
32.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1888
32.5 IPS |
