ASUSTeK COMPUTER INC. X405UR
Geekbench AI Score
670
Single Precision Score
377
Half Precision Score
827
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | April 18 2025 12:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. X405UR |
| Motherboard | ASUSTeK COMPUTER INC. X405UR |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
96% |
687
128.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
420
6.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
1647
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
58% |
471
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (Q)
|
96% |
1542
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1227
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
1620
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2165
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1554
2.00 IPS |
|
|
Style Transfer (Q)
|
87% |
2623
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
706
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.1 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (Q)
|
97% |
220
294.3 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.11 IPS |
|
|
Machine Translation (Q)
|
68% |
657
12.7 IPS |
