ASUS System Product Name
Geekbench AI Score
2705
Single Precision Score
1406
Half Precision Score
4620
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LukeG |
| Upload Date | April 01 2025 07:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-14100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-G GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-14100F |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
99% |
4595
857.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2103
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3120
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
12218
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
3852
309.6 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
7019
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4201
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1900
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10763
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8340
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6830
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
17753
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
649
869.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3059
61.5 IPS |
