HP HP Pavilion x360 Convertible 14-ba0xx
Geekbench ML Score
426
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 21 2024 07:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-ba0xx |
| Motherboard | HP 8310 |
| Power Plan | HP Recommended |
| 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 |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce 940MX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
344
64.5 IPS |
|
|
Image Classification (F16)
|
100% |
239
44.7 IPS |
|
|
Image Classification (I8)
|
100% |
214
40.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
336
5.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
5.58 IPS |
|
|
Image Segmentation (I8)
|
98% |
277
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
825
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
824
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
776
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
267
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
54% |
238
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
522
6.20 IPS |
|
|
Face Detection (F16)
|
100% |
522
6.21 IPS |
|
|
Face Detection (I8)
|
89% |
399
4.75 IPS |
|
|
Depth Estimation (F32)
|
100% |
849
6.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
848
6.58 IPS |
|
|
Depth Estimation (I8)
|
95% |
754
5.85 IPS |
|
|
Style Transfer (F32)
|
100% |
1741
2.29 IPS |
|
|
Style Transfer (F16)
|
100% |
1745
2.30 IPS |
|
|
Style Transfer (I8)
|
98% |
1548
2.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
475
16.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
479
17.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
407
14.5 IPS |
|
|
Text Classification (F32)
|
100% |
183
262.6 IPS |
|
|
Text Classification (F16)
|
100% |
183
262.8 IPS |
|
|
Text Classification (I8)
|
98% |
138
198.7 IPS |
|
|
Machine Translation (F32)
|
100% |
269
4.95 IPS |
|
|
Machine Translation (F16)
|
100% |
269
4.95 IPS |
|
|
Machine Translation (I8)
|
70% |
185
3.40 IPS |
