Micro-Star International Co., Ltd. GS75 Stealth 9SE
Geekbench ML Score
5853
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GS75 Stealth 9SE |
| Motherboard | Micro-Star International Co., Ltd. MS-17G1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 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 | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3290
615.7 IPS |
|
|
Image Classification (F16)
|
100% |
2408
450.6 IPS |
|
|
Image Classification (I8)
|
100% |
2261
423.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
4760
79.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4358
72.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4389
73.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
37416
45.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
31030
37.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
31807
38.5 IPS |
|
|
Object Detection (F32)
|
100% |
1830
136.6 IPS |
|
|
Object Detection (F16)
|
100% |
1777
132.7 IPS |
|
|
Object Detection (I8)
|
61% |
1835
137.0 IPS |
|
|
Face Detection (F32)
|
100% |
8130
96.7 IPS |
|
|
Face Detection (F16)
|
100% |
9674
115.0 IPS |
|
|
Face Detection (I8)
|
89% |
6702
79.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
20042
155.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17752
137.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
11980
92.9 IPS |
|
|
Style Transfer (F32)
|
100% |
50252
66.1 IPS |
|
|
Style Transfer (F16)
|
100% |
49057
64.5 IPS |
|
|
Style Transfer (I8)
|
98% |
42514
55.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8571
306.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8767
313.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5438
194.2 IPS |
|
|
Text Classification (F32)
|
100% |
856
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1282
1.84 KIPS |
|
|
Text Classification (I8)
|
98% |
817
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1980
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1917
35.3 IPS |
|
|
Machine Translation (I8)
|
70% |
897
16.5 IPS |
