ASUSTeK Computer Inc. N73SM
Geekbench AI Score
389
Single Precision Score
248
Half Precision Score
330
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | Xyzer |
| Upload Date | October 10 2024 10:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2430M |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK Computer Inc. N73SM |
| Motherboard | ASUSTeK Computer Inc. N73SM |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2430M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
96% |
231
43.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
381
0.45 IPS |
|
|
Pose Estimation (Q)
|
87% |
490
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
90% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (Q)
|
96% |
498
5.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
410
3.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1211
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
991
1.27 IPS |
|
|
Style Transfer (Q)
|
87% |
1107
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
276
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.6 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (Q)
|
97% |
214
287.1 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
60% |
196
4.38 IPS |
