Intel 8850 EmETXe-i91M0
Geekbench ML Score
7164
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2024 09:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Intel 8850 EmETXe-i91M0 |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3997
748.0 IPS |
|
|
Image Classification (F16)
|
100% |
4077
762.9 IPS |
|
|
Image Classification (I8)
|
100% |
3106
581.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4065
67.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4382
73.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3671
61.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
42102
51.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
41543
50.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
34823
42.2 IPS |
|
|
Object Detection (F32)
|
100% |
2326
173.7 IPS |
|
|
Object Detection (F16)
|
100% |
2255
168.3 IPS |
|
|
Object Detection (I8)
|
61% |
2109
157.4 IPS |
|
|
Face Detection (F32)
|
100% |
9764
116.1 IPS |
|
|
Face Detection (F16)
|
100% |
10094
120.0 IPS |
|
|
Face Detection (I8)
|
89% |
8045
95.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19941
154.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
21962
170.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
17843
138.4 IPS |
|
|
Style Transfer (F32)
|
100% |
70081
92.2 IPS |
|
|
Style Transfer (F16)
|
100% |
70148
92.3 IPS |
|
|
Style Transfer (I8)
|
98% |
57789
76.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13479
481.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13512
482.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8945
319.5 IPS |
|
|
Text Classification (F32)
|
100% |
1171
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1499
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
965
1.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1925
35.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1919
35.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1133
20.8 IPS |
