ASUSTeK Computer Inc. N73SM
Geekbench AI Score
106
Single Precision Score
106
Half Precision Score
466
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | Xyzer |
| Upload Date | October 10 2024 10:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-2430M CPU @ 2.40GHz |
| 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% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
294
54.7 IPS |
|
|
Image Segmentation (SP)
|
29% |
20
4.19 IPS |
|
|
Image Segmentation (HP)
|
29% |
20
4.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
334
5.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
608
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
87% |
297
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.41 IPS |
|
|
Face Detection (Q)
|
97% |
830
9.89 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
4.09 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
4.12 IPS |
|
|
Depth Estimation (Q)
|
81% |
772
6.10 IPS |
|
|
Style Transfer (SP)
|
31% |
78
1.07 IPS |
|
|
Style Transfer (HP)
|
31% |
79
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
1848
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.62 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
302
402.8 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.1 IPS |
|
|
Text Classification (Q)
|
91% |
184
247.1 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
100% |
337
5.80 IPS |
