Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench ML Score
1434
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 06:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0A81 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 10.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
708
132.5 IPS |
|
|
Image Classification (F16)
|
100% |
703
131.5 IPS |
|
|
Image Classification (I8)
|
100% |
571
106.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1069
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1066
17.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
815
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4958
6.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
4975
6.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
3071
3.72 IPS |
|
|
Object Detection (F32)
|
100% |
780
58.2 IPS |
|
|
Object Detection (F16)
|
100% |
796
59.4 IPS |
|
|
Object Detection (I8)
|
54% |
681
50.8 IPS |
|
|
Face Detection (F32)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (F16)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (I8)
|
89% |
1077
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3459
26.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3404
26.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2493
19.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13400
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13257
17.4 IPS |
|
|
Style Transfer (I8)
|
98% |
9049
11.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2076
74.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2038
72.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
978
34.9 IPS |
|
|
Text Classification (F32)
|
100% |
491
706.0 IPS |
|
|
Text Classification (F16)
|
100% |
558
801.9 IPS |
|
|
Text Classification (I8)
|
98% |
294
421.8 IPS |
|
|
Machine Translation (F32)
|
100% |
639
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (I8)
|
70% |
354
6.51 IPS |
