Microsoft Corporation Surface Go 3
Geekbench ML Score
541
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | March 03 2024 02:07 AM |
| Views | 15 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Go 3 |
| Motherboard | Microsoft Corporation Surface Go 3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Pentium(R) CPU GOLD 6500Y @ 1.10GHz |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 1.61 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 | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 615 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
250
46.8 IPS |
|
|
Image Classification (F16)
|
100% |
276
51.6 IPS |
|
|
Image Classification (I8)
|
100% |
239
44.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
406
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
401
6.69 IPS |
|
|
Image Segmentation (I8)
|
98% |
322
5.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
1639
1.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
1638
1.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
1463
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
236
17.6 IPS |
|
|
Object Detection (I8)
|
54% |
245
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
584
6.94 IPS |
|
|
Face Detection (F16)
|
100% |
581
6.91 IPS |
|
|
Face Detection (I8)
|
89% |
448
5.33 IPS |
|
|
Depth Estimation (F32)
|
100% |
1201
9.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
1192
9.25 IPS |
|
|
Depth Estimation (I8)
|
95% |
1012
7.85 IPS |
|
|
Style Transfer (F32)
|
100% |
4165
5.48 IPS |
|
|
Style Transfer (F16)
|
100% |
4164
5.48 IPS |
|
|
Style Transfer (I8)
|
98% |
3472
4.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
839
30.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
826
29.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
614
21.9 IPS |
|
|
Text Classification (F32)
|
100% |
145
208.1 IPS |
|
|
Text Classification (F16)
|
100% |
145
208.4 IPS |
|
|
Text Classification (I8)
|
98% |
90
130.0 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.57 IPS |
|
|
Machine Translation (F16)
|
100% |
293
5.39 IPS |
|
|
Machine Translation (I8)
|
70% |
195
3.60 IPS |
