MSI MS-7851
Geekbench ML Score
5586
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 03:08 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7851 |
| Motherboard | MSI H97I AC (MS-7851) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2681
501.7 IPS |
|
|
Image Classification (F16)
|
100% |
2690
503.3 IPS |
|
|
Image Classification (I8)
|
100% |
2153
403.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2682
44.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2680
44.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2344
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
55990
67.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
55983
67.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
43210
52.3 IPS |
|
|
Object Detection (F32)
|
100% |
2278
170.1 IPS |
|
|
Object Detection (F16)
|
100% |
2305
172.1 IPS |
|
|
Object Detection (I8)
|
66% |
2016
150.5 IPS |
|
|
Face Detection (F32)
|
100% |
8023
95.4 IPS |
|
|
Face Detection (F16)
|
100% |
8035
95.5 IPS |
|
|
Face Detection (I8)
|
90% |
6122
72.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18129
140.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18134
140.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
13602
105.5 IPS |
|
|
Style Transfer (F32)
|
100% |
49262
64.8 IPS |
|
|
Style Transfer (F16)
|
100% |
66956
88.1 IPS |
|
|
Style Transfer (I8)
|
98% |
62712
82.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5722
204.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5495
196.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4341
155.0 IPS |
|
|
Text Classification (F32)
|
100% |
1063
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1053
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
657
944.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1445
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
69% |
923
17.0 IPS |
