ASUS System Product Name
Geekbench AI Score
2199
Single Precision Score
1205
Half Precision Score
5265
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BantalBambu |
| Upload Date | March 25 2026 01:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-12100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2248
418.1 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
99% |
3448
643.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5632
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2130
2.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
9891
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
86% |
3279
263.5 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
6316
75.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3393
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9360
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6812
8.76 IPS |
|
|
Style Transfer (HP)
|
100% |
5493
7.06 IPS |
|
|
Style Transfer (Q)
|
98% |
19097
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4046
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3172
63.7 IPS |
