MSI MS-7821
Geekbench AI Score
8889
Single Precision Score
14646
Half Precision Score
6088
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 09:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7821 |
| Motherboard | MSI Z87-G45 GAMING (MS-7821) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3775
702.0 IPS |
|
|
Image Classification (HP)
|
100% |
6020
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
2768
514.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5354
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6850
111.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4239
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46017
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122089
142.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
37228
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
4127
327.4 IPS |
|
|
Object Detection (HP)
|
100% |
6919
548.8 IPS |
|
|
Object Detection (Q)
|
89% |
3254
260.5 IPS |
|
|
Face Detection (SP)
|
100% |
9083
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
13386
159.1 IPS |
|
|
Face Detection (Q)
|
97% |
7245
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22631
174.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47225
363.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
16244
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
86408
111.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188905
242.8 IPS |
|
|
Style Transfer (Q)
|
98% |
66949
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14948
552.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25459
940.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9348
346.2 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2226
2.97 KIPS |
|
|
Text Classification (Q)
|
97% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (Q)
|
60% |
743
16.6 IPS |
