ASUSTeK Computer Inc. K54C
Geekbench AI Score
249
Single Precision Score
248
Half Precision Score
362
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 27 2025 12:01 PM |
| Views | 5 |
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% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
100% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
284
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
502
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
242
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.96 IPS |
|
|
Face Detection (Q)
|
97% |
659
7.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
403
3.11 IPS |
|
|
Depth Estimation (Q)
|
81% |
609
4.81 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1500
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.5 IPS |
|
|
Text Classification (HP)
|
100% |
231
307.8 IPS |
|
|
Text Classification (Q)
|
91% |
131
175.9 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (Q)
|
100% |
196
3.37 IPS |
