ASUS System Product Name
Geekbench AI Score
2831
Single Precision Score
2843
Half Precision Score
4039
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | September 02 2025 03:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (Q)
|
100% |
2622
487.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3043
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3291
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
6352
7.45 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (Q)
|
87% |
2693
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4027
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
7085
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4363
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4373
33.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
7171
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9647
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9659
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17983
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3772
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
91% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2955
50.9 IPS |
