ASUSTeK Computer Inc. K54C
Geekbench AI Score
252
Single Precision Score
251
Half Precision Score
363
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 27 2025 12:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-2350M CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUSTeK Computer Inc. K54C |
| Motherboard | ASUSTeK Computer Inc. K54C |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2350M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
100% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
208
3.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
285
4.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
500
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
242
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
660
7.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
81% |
627
4.95 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
664
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1501
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.15 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.0 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (Q)
|
91% |
132
177.3 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
100% |
197
3.39 IPS |
