ASUSTeK COMPUTER INC. X751LK
Geekbench ML Score
274
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2024 09:07 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. X751LK |
| Motherboard | ASUSTeK COMPUTER INC. X751LK |
| Power Plan | Smart Game Boost Power Plan |
| 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 |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics Family |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
157
29.3 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.2 IPS |
|
|
Image Classification (I8)
|
100% |
75
14.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
3.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
214
3.58 IPS |
|
|
Image Segmentation (I8)
|
98% |
95
1.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
787
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
786
0.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
587
0.71 IPS |
|
|
Object Detection (F32)
|
100% |
187
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
190
14.2 IPS |
|
|
Object Detection (I8)
|
63% |
95
7.06 IPS |
|
|
Face Detection (F32)
|
100% |
323
3.84 IPS |
|
|
Face Detection (F16)
|
100% |
322
3.83 IPS |
|
|
Face Detection (I8)
|
87% |
128
1.52 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (I8)
|
94% |
306
2.38 IPS |
|
|
Style Transfer (F32)
|
100% |
1309
1.72 IPS |
|
|
Style Transfer (F16)
|
100% |
1300
1.71 IPS |
|
|
Style Transfer (I8)
|
98% |
883
1.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
450
16.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
451
16.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
205
7.33 IPS |
|
|
Text Classification (F32)
|
100% |
228
327.8 IPS |
|
|
Text Classification (F16)
|
100% |
231
331.6 IPS |
|
|
Text Classification (I8)
|
98% |
46
65.7 IPS |
|
|
Machine Translation (F32)
|
100% |
376
6.92 IPS |
|
|
Machine Translation (F16)
|
100% |
374
6.88 IPS |
|
|
Machine Translation (I8)
|
71% |
55
1.00 IPS |
