ASUSTeK Computer Inc. K54C
Geekbench AI Score
286
Single Precision Score
170
Half Precision Score
264
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 27 2025 11:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2350M |
| 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% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (Q)
|
96% |
188
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
174
2.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
355
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.41 IPS |
|
|
Object Detection (Q)
|
58% |
137
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
465
5.53 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (Q)
|
96% |
422
5.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
418
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
833
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (Q)
|
87% |
757
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
202
7.50 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.6 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.6 IPS |
|
|
Text Classification (Q)
|
97% |
130
174.3 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.21 IPS |
|
|
Machine Translation (Q)
|
68% |
301
5.81 IPS |
