ASUSTeK Computer Inc. K53SV
Geekbench AI Score
282
Single Precision Score
182
Half Precision Score
256
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 08:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2330M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK Computer Inc. K53SV |
| Motherboard | ASUSTeK Computer Inc. K53SV |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2330M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.0 IPS |
|
|
Image Classification (Q)
|
96% |
197
36.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
194
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
302
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.29 IPS |
|
|
Object Detection (Q)
|
58% |
126
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
410
4.88 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (Q)
|
96% |
385
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
383
3.05 IPS |
|
|
Style Transfer (SP)
|
100% |
895
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
756
0.97 IPS |
|
|
Style Transfer (Q)
|
87% |
755
0.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
213
7.90 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.8 IPS |
|
|
Text Classification (HP)
|
100% |
136
180.9 IPS |
|
|
Text Classification (Q)
|
97% |
121
161.9 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (Q)
|
68% |
295
5.70 IPS |
