ASUSTeK Computer Inc. K54C
Geekbench AI Score
243
Single Precision Score
243
Half Precision Score
340
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 13 2025 05:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-2310M CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUSTeK Computer Inc. K54C |
| Motherboard | ASUSTeK Computer Inc. K54C |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2310M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
129
23.9 IPS |
|
|
Image Classification (HP)
|
100% |
129
23.9 IPS |
|
|
Image Classification (Q)
|
100% |
220
40.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
210
0.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
457
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (Q)
|
87% |
221
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
608
7.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
410
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
406
3.13 IPS |
|
|
Depth Estimation (Q)
|
81% |
587
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1400
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
242
322.9 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.2 IPS |
|
|
Text Classification (Q)
|
91% |
123
165.2 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (Q)
|
100% |
206
3.56 IPS |
