ASUSTeK COMPUTER INC. TP300LD
Geekbench AI Score
587
Single Precision Score
339
Half Precision Score
567
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fjer-nader4alsharief |
| Upload Date | December 06 2025 01:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. TP300LD |
| Motherboard | ASUSTeK COMPUTER INC. TP300LD |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4210U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
96% |
425
79.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
385
6.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
854
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (Q)
|
58% |
246
26.9 IPS |
|
|
Face Detection (SP)
|
100% |
836
9.93 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (Q)
|
96% |
1039
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
1016
8.11 IPS |
|
|
Style Transfer (SP)
|
100% |
1931
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1475
1.90 IPS |
|
|
Style Transfer (Q)
|
87% |
2017
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.6 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.9 IPS |
|
|
Text Classification (Q)
|
97% |
176
236.2 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (Q)
|
68% |
544
10.5 IPS |
